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Video.html 109 KB
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  166. <td class="colFirst"><code>static int</code></td>
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  186. <td class="colFirst"><code>static int</code></td>
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  199. <caption><span>Constructors</span><span class="tabEnd">&nbsp;</span></caption>
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  200. <tr>
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  201. <th class="colOne" scope="col">Constructor and Description</th>
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  203. <tr class="altColor">
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  204. <td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#Video--">Video</a></span>()</code>&nbsp;</td>
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  214. <h3>Method Summary</h3>
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  215. <table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
    216. 

  216. <caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd">&nbsp;</span></span></caption>
    217. 

  217. <tr>
    218. 

  218. <th class="colFirst" scope="col">Modifier and Type</th>
    219. 

  219. <th class="colLast" scope="col">Method and Description</th>
    220. 

  220. </tr>
    221. 

  221. <tr id="i0" class="altColor">
    222. 

  222. <td class="colFirst"><code>static int</code></td>
    223. 

  223. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    224. 

  224.                        java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    225. 

  225.                        <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    226. 

  226.                        int&nbsp;maxLevel)</code>
    227. 

  227. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    228. 

  228. </td>
    229. 

  229. </tr>
    230. 

  230. <tr id="i1" class="rowColor">
    231. 

  231. <td class="colFirst"><code>static int</code></td>
    232. 

  232. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    233. 

  233.                        java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    234. 

  234.                        <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    235. 

  235.                        int&nbsp;maxLevel,
    236. 

  236.                        boolean&nbsp;withDerivatives)</code>
    237. 

  237. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    238. 

  238. </td>
    239. 

  239. </tr>
    240. 

  240. <tr id="i2" class="altColor">
    241. 

  241. <td class="colFirst"><code>static int</code></td>
    242. 

  242. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    243. 

  243.                        java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    244. 

  244.                        <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    245. 

  245.                        int&nbsp;maxLevel,
    246. 

  246.                        boolean&nbsp;withDerivatives,
    247. 

  247.                        int&nbsp;pyrBorder)</code>
    248. 

  248. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    249. 

  249. </td>
    250. 

  250. </tr>
    251. 

  251. <tr id="i3" class="rowColor">
    252. 

  252. <td class="colFirst"><code>static int</code></td>
    253. 

  253. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-int-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    254. 

  254.                        java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    255. 

  255.                        <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    256. 

  256.                        int&nbsp;maxLevel,
    257. 

  257.                        boolean&nbsp;withDerivatives,
    258. 

  258.                        int&nbsp;pyrBorder,
    259. 

  259.                        int&nbsp;derivBorder)</code>
    260. 

  260. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    261. 

  261. </td>
    262. 

  262. </tr>
    263. 

  263. <tr id="i4" class="altColor">
    264. 

  264. <td class="colFirst"><code>static int</code></td>
    265. 

  265. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-int-boolean-">buildOpticalFlowPyramid</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    266. 

  266.                        java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    267. 

  267.                        <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    268. 

  268.                        int&nbsp;maxLevel,
    269. 

  269.                        boolean&nbsp;withDerivatives,
    270. 

  270.                        int&nbsp;pyrBorder,
    271. 

  271.                        int&nbsp;derivBorder,
    272. 

  272.                        boolean&nbsp;tryReuseInputImage)</code>
    273. 

  273. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    274. 

  274. </td>
    275. 

  275. </tr>
    276. 

  276. <tr id="i5" class="rowColor">
    277. 

  277. <td class="colFirst"><code>static void</code></td>
    278. 

  278. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowFarneback-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double-int-int-int-int-double-int-">calcOpticalFlowFarneback</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prev,
    279. 

  279.                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;next,
    280. 

  280.                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;flow,
    281. 

  281.                         double&nbsp;pyr_scale,
    282. 

  282.                         int&nbsp;levels,
    283. 

  283.                         int&nbsp;winsize,
    284. 

  284.                         int&nbsp;iterations,
    285. 

  285.                         int&nbsp;poly_n,
    286. 

  286.                         double&nbsp;poly_sigma,
    287. 

  287.                         int&nbsp;flags)</code>
    288. 

  288. <div class="block">Computes a dense optical flow using the Gunnar Farneback's algorithm.</div>
    289. 

  289. </td>
    290. 

  290. </tr>
    291. 

  291. <tr id="i6" class="altColor">
    292. 

  292. <td class="colFirst"><code>static void</code></td>
    293. 

  293. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    294. 

  294.                     <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    295. 

  295.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    296. 

  296.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    297. 

  297.                     <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    298. 

  298.                     <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err)</code>
    299. 

  299. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    300. 

  300.  pyramids.</div>
    301. 

  301. </td>
    302. 

  302. </tr>
    303. 

  303. <tr id="i7" class="rowColor">
    304. 

  304. <td class="colFirst"><code>static void</code></td>
    305. 

  305. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    306. 

  306.                     <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    307. 

  307.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    308. 

  308.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    309. 

  309.                     <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    310. 

  310.                     <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    311. 

  311.                     <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize)</code>
    312. 

  312. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    313. 

  313.  pyramids.</div>
    314. 

  314. </td>
    315. 

  315. </tr>
    316. 

  316. <tr id="i8" class="altColor">
    317. 

  317. <td class="colFirst"><code>static void</code></td>
    318. 

  318. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    319. 

  319.                     <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    320. 

  320.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    321. 

  321.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    322. 

  322.                     <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    323. 

  323.                     <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    324. 

  324.                     <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    325. 

  325.                     int&nbsp;maxLevel)</code>
    326. 

  326. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    327. 

  327.  pyramids.</div>
    328. 

  328. </td>
    329. 

  329. </tr>
    330. 

  330. <tr id="i9" class="rowColor">
    331. 

  331. <td class="colFirst"><code>static void</code></td>
    332. 

  332. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    333. 

  333.                     <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    334. 

  334.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    335. 

  335.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    336. 

  336.                     <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    337. 

  337.                     <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    338. 

  338.                     <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    339. 

  339.                     int&nbsp;maxLevel,
    340. 

  340.                     <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria)</code>
    341. 

  341. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    342. 

  342.  pyramids.</div>
    343. 

  343. </td>
    344. 

  344. </tr>
    345. 

  345. <tr id="i10" class="altColor">
    346. 

  346. <td class="colFirst"><code>static void</code></td>
    347. 

  347. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-int-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    348. 

  348.                     <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    349. 

  349.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    350. 

  350.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    351. 

  351.                     <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    352. 

  352.                     <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    353. 

  353.                     <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    354. 

  354.                     int&nbsp;maxLevel,
    355. 

  355.                     <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria,
    356. 

  356.                     int&nbsp;flags)</code>
    357. 

  357. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    358. 

  358.  pyramids.</div>
    359. 

  359. </td>
    360. 

  360. </tr>
    361. 

  361. <tr id="i11" class="rowColor">
    362. 

  362. <td class="colFirst"><code>static void</code></td>
    363. 

  363. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-int-double-">calcOpticalFlowPyrLK</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    364. 

  364.                     <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    365. 

  365.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    366. 

  366.                     <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    367. 

  367.                     <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    368. 

  368.                     <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    369. 

  369.                     <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    370. 

  370.                     int&nbsp;maxLevel,
    371. 

  371.                     <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria,
    372. 

  372.                     int&nbsp;flags,
    373. 

  373.                     double&nbsp;minEigThreshold)</code>
    374. 

  374. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    375. 

  375.  pyramids.</div>
    376. 

  376. </td>
    377. 

  377. </tr>
    378. 

  378. <tr id="i12" class="altColor">
    379. 

  379. <td class="colFirst"><code>static <a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a></code></td>
    380. 

  380. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#CamShift-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.TermCriteria-">CamShift</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;probImage,
    381. 

  381.         <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a>&nbsp;window,
    382. 

  382.         <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria)</code>
    383. 

  383. <div class="block">Finds an object center, size, and orientation.</div>
    384. 

  384. </td>
    385. 

  385. </tr>
    386. 

  386. <tr id="i13" class="rowColor">
    387. 

  387. <td class="colFirst"><code>static double</code></td>
    388. 

  388. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#computeECC-org.opencv.core.Mat-org.opencv.core.Mat-">computeECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    389. 

  389.           <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage)</code>
    390. 

  390. <div class="block">Computes the Enhanced Correlation Coefficient value between two images CITE: EP08 .</div>
    391. 

  391. </td>
    392. 

  392. </tr>
    393. 

  393. <tr id="i14" class="altColor">
    394. 

  394. <td class="colFirst"><code>static double</code></td>
    395. 

  395. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#computeECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">computeECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    396. 

  396.           <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    397. 

  397.           <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputMask)</code>
    398. 

  398. <div class="block">Computes the Enhanced Correlation Coefficient value between two images CITE: EP08 .</div>
    399. 

  399. </td>
    400. 

  400. </tr>
    401. 

  401. <tr id="i15" class="rowColor">
    402. 

  402. <td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
    403. 

  403. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorKNN--">createBackgroundSubtractorKNN</a></span>()</code>
    404. 

  404. <div class="block">Creates KNN Background Subtractor
    405. 

  405. 

  406.  whether a pixel is close to that sample.</div>
    407. 

  407. </td>
    408. 

  408. </tr>
    409. 

  409. <tr id="i16" class="altColor">
    410. 

  410. <td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
    411. 

  411. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorKNN-int-">createBackgroundSubtractorKNN</a></span>(int&nbsp;history)</code>
    412. 

  412. <div class="block">Creates KNN Background Subtractor</div>
    413. 

  413. </td>
    414. 

  414. </tr>
    415. 

  415. <tr id="i17" class="rowColor">
    416. 

  416. <td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
    417. 

  417. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorKNN-int-double-">createBackgroundSubtractorKNN</a></span>(int&nbsp;history,
    418. 

  418.                              double&nbsp;dist2Threshold)</code>
    419. 

  419. <div class="block">Creates KNN Background Subtractor</div>
    420. 

  420. </td>
    421. 

  421. </tr>
    422. 

  422. <tr id="i18" class="altColor">
    423. 

  423. <td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
    424. 

  424. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorKNN-int-double-boolean-">createBackgroundSubtractorKNN</a></span>(int&nbsp;history,
    425. 

  425.                              double&nbsp;dist2Threshold,
    426. 

  426.                              boolean&nbsp;detectShadows)</code>
    427. 

  427. <div class="block">Creates KNN Background Subtractor</div>
    428. 

  428. </td>
    429. 

  429. </tr>
    430. 

  430. <tr id="i19" class="rowColor">
    431. 

  431. <td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a></code></td>
    432. 

  432. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorMOG2--">createBackgroundSubtractorMOG2</a></span>()</code>
    433. 

  433. <div class="block">Creates MOG2 Background Subtractor
    434. 

  434. 

  435.  to decide whether a pixel is well described by the background model.</div>
    436. 

  436. </td>
    437. 

  437. </tr>
    438. 

  438. <tr id="i20" class="altColor">
    439. 

  439. <td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a></code></td>
    440. 

  440. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorMOG2-int-">createBackgroundSubtractorMOG2</a></span>(int&nbsp;history)</code>
    441. 

  441. <div class="block">Creates MOG2 Background Subtractor</div>
    442. 

  442. </td>
    443. 

  443. </tr>
    444. 

  444. <tr id="i21" class="rowColor">
    445. 

  445. <td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a></code></td>
    446. 

  446. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorMOG2-int-double-">createBackgroundSubtractorMOG2</a></span>(int&nbsp;history,
    447. 

  447.                               double&nbsp;varThreshold)</code>
    448. 

  448. <div class="block">Creates MOG2 Background Subtractor</div>
    449. 

  449. </td>
    450. 

  450. </tr>
    451. 

  451. <tr id="i22" class="altColor">
    452. 

  452. <td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a></code></td>
    453. 

  453. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#createBackgroundSubtractorMOG2-int-double-boolean-">createBackgroundSubtractorMOG2</a></span>(int&nbsp;history,
    454. 

  454.                               double&nbsp;varThreshold,
    455. 

  455.                               boolean&nbsp;detectShadows)</code>
    456. 

  456. <div class="block">Creates MOG2 Background Subtractor</div>
    457. 

  457. </td>
    458. 

  458. </tr>
    459. 

  459. <tr id="i23" class="rowColor">
    460. 

  460. <td class="colFirst"><code>static double</code></td>
    461. 

  461. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    462. 

  462.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    463. 

  463.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix)</code>&nbsp;</td>
    464. 

  464. </tr>
    465. 

  465. <tr id="i24" class="altColor">
    466. 

  466. <td class="colFirst"><code>static double</code></td>
    467. 

  467. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    468. 

  468.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    469. 

  469.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix,
    470. 

  470.                 int&nbsp;motionType)</code>&nbsp;</td>
    471. 

  471. </tr>
    472. 

  472. <tr id="i25" class="rowColor">
    473. 

  473. <td class="colFirst"><code>static double</code></td>
    474. 

  474. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    475. 

  475.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    476. 

  476.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix,
    477. 

  477.                 int&nbsp;motionType,
    478. 

  478.                 <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria)</code>&nbsp;</td>
    479. 

  479. </tr>
    480. 

  480. <tr id="i26" class="altColor">
    481. 

  481. <td class="colFirst"><code>static double</code></td>
    482. 

  482. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-org.opencv.core.Mat-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    483. 

  483.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    484. 

  484.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix,
    485. 

  485.                 int&nbsp;motionType,
    486. 

  486.                 <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria,
    487. 

  487.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputMask)</code>&nbsp;</td>
    488. 

  488. </tr>
    489. 

  489. <tr id="i27" class="rowColor">
    490. 

  490. <td class="colFirst"><code>static double</code></td>
    491. 

  491. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-org.opencv.core.Mat-int-">findTransformECC</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    492. 

  492.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    493. 

  493.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix,
    494. 

  494.                 int&nbsp;motionType,
    495. 

  495.                 <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria,
    496. 

  496.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputMask,
    497. 

  497.                 int&nbsp;gaussFiltSize)</code>
    498. 

  498. <div class="block">Finds the geometric transform (warp) between two images in terms of the ECC criterion CITE: EP08 .</div>
    499. 

  499. </td>
    500. 

  500. </tr>
    501. 

  501. <tr id="i28" class="altColor">
    502. 

  502. <td class="colFirst"><code>static int</code></td>
    503. 

  503. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#meanShift-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.TermCriteria-">meanShift</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;probImage,
    504. 

  504.          <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a>&nbsp;window,
    505. 

  505.          <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria)</code>
    506. 

  506. <div class="block">Finds an object on a back projection image.</div>
    507. 

  507. </td>
    508. 

  508. </tr>
    509. 

  509. <tr id="i29" class="rowColor">
    510. 

  510. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    511. 

  511. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#readOpticalFlow-java.lang.String-">readOpticalFlow</a></span>(java.lang.String&nbsp;path)</code>
    512. 

  512. <div class="block">Read a .flo file</div>
    513. 

  513. </td>
    514. 

  514. </tr>
    515. 

  515. <tr id="i30" class="altColor">
    516. 

  516. <td class="colFirst"><code>static boolean</code></td>
    517. 

  517. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/Video.html#writeOpticalFlow-java.lang.String-org.opencv.core.Mat-">writeOpticalFlow</a></span>(java.lang.String&nbsp;path,
    518. 

  518.                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;flow)</code>
    519. 

  519. <div class="block">Write a .flo to disk</div>
    520. 

  520. </td>
    521. 

  521. </tr>
    522. 

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    523. 

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    524. 

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    525. 

  525. <!--   -->
    526. 

  526. </a>
    527. 

  527. <h3>Methods inherited from class&nbsp;java.lang.Object</h3>
    528. 

  528. <code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
    529. 

  529. </ul>
    530. 

  530. </li>
    531. 

  531. </ul>
    532. 

  532. </li>
    533. 

  533. </ul>
    534. 

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    535. 

  535. <div class="details">
    536. 

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    537. 

  537. <li class="blockList">
    538. 

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    541. 

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    542. 

  542. </a>
    543. 

  543. <h3>Field Detail</h3>
    544. 

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    545. 

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  549. <h4>MOTION_AFFINE</h4>
    550. 

  550. <pre>public static final&nbsp;int MOTION_AFFINE</pre>
    551. 

  551. <dl>
    552. 

  552. <dt><span class="seeLabel">See Also:</span></dt>
    553. 

  553. <dd><a href="../../../constant-values.html#org.opencv.video.Video.MOTION_AFFINE">Constant Field Values</a></dd>
    554. 

  554. </dl>
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    563. 

  563. <pre>public static final&nbsp;int MOTION_EUCLIDEAN</pre>
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    565. 

  565. <dt><span class="seeLabel">See Also:</span></dt>
    566. 

  566. <dd><a href="../../../constant-values.html#org.opencv.video.Video.MOTION_EUCLIDEAN">Constant Field Values</a></dd>
    567. 

  567. </dl>
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  576. <pre>public static final&nbsp;int MOTION_HOMOGRAPHY</pre>
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  577. <dl>
    578. 

  578. <dt><span class="seeLabel">See Also:</span></dt>
    579. 

  579. <dd><a href="../../../constant-values.html#org.opencv.video.Video.MOTION_HOMOGRAPHY">Constant Field Values</a></dd>
    580. 

  580. </dl>
    581. 

  581. </li>
    582. 

  582. </ul>
    583. 

  583. <a name="MOTION_TRANSLATION">
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  589. <pre>public static final&nbsp;int MOTION_TRANSLATION</pre>
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  590. <dl>
    591. 

  591. <dt><span class="seeLabel">See Also:</span></dt>
    592. 

  592. <dd><a href="../../../constant-values.html#org.opencv.video.Video.MOTION_TRANSLATION">Constant Field Values</a></dd>
    593. 

  593. </dl>
    594. 

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    595. 

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    596. 

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  602. <pre>public static final&nbsp;int OPTFLOW_FARNEBACK_GAUSSIAN</pre>
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  603. <dl>
    604. 

  604. <dt><span class="seeLabel">See Also:</span></dt>
    605. 

  605. <dd><a href="../../../constant-values.html#org.opencv.video.Video.OPTFLOW_FARNEBACK_GAUSSIAN">Constant Field Values</a></dd>
    606. 

  606. </dl>
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  608. </ul>
    609. 

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  615. <pre>public static final&nbsp;int OPTFLOW_LK_GET_MIN_EIGENVALS</pre>
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  616. <dl>
    617. 

  617. <dt><span class="seeLabel">See Also:</span></dt>
    618. 

  618. <dd><a href="../../../constant-values.html#org.opencv.video.Video.OPTFLOW_LK_GET_MIN_EIGENVALS">Constant Field Values</a></dd>
    619. 

  619. </dl>
    620. 

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    621. 

  621. </ul>
    622. 

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  628. <pre>public static final&nbsp;int OPTFLOW_USE_INITIAL_FLOW</pre>
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  629. <dl>
    630. 

  630. <dt><span class="seeLabel">See Also:</span></dt>
    631. 

  631. <dd><a href="../../../constant-values.html#org.opencv.video.Video.OPTFLOW_USE_INITIAL_FLOW">Constant Field Values</a></dd>
    632. 

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  641. <pre>public static final&nbsp;int TrackerSamplerCSC_MODE_DETECT</pre>
    642. 

  642. <dl>
    643. 

  643. <dt><span class="seeLabel">See Also:</span></dt>
    644. 

  644. <dd><a href="../../../constant-values.html#org.opencv.video.Video.TrackerSamplerCSC_MODE_DETECT">Constant Field Values</a></dd>
    645. 

  645. </dl>
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  654. <pre>public static final&nbsp;int TrackerSamplerCSC_MODE_INIT_NEG</pre>
    655. 

  655. <dl>
    656. 

  656. <dt><span class="seeLabel">See Also:</span></dt>
    657. 

  657. <dd><a href="../../../constant-values.html#org.opencv.video.Video.TrackerSamplerCSC_MODE_INIT_NEG">Constant Field Values</a></dd>
    658. 

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  667. <pre>public static final&nbsp;int TrackerSamplerCSC_MODE_INIT_POS</pre>
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    669. 

  669. <dt><span class="seeLabel">See Also:</span></dt>
    670. 

  670. <dd><a href="../../../constant-values.html#org.opencv.video.Video.TrackerSamplerCSC_MODE_INIT_POS">Constant Field Values</a></dd>
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    682. 

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    683. 

  683. <dd><a href="../../../constant-values.html#org.opencv.video.Video.TrackerSamplerCSC_MODE_TRACK_NEG">Constant Field Values</a></dd>
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  693. <pre>public static final&nbsp;int TrackerSamplerCSC_MODE_TRACK_POS</pre>
    694. 

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    695. 

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    696. 

  696. <dd><a href="../../../constant-values.html#org.opencv.video.Video.TrackerSamplerCSC_MODE_TRACK_POS">Constant Field Values</a></dd>
    697. 

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    708. 

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    713. 

  713. <h4>Video</h4>
    714. 

  714. <pre>public&nbsp;Video()</pre>
    715. 

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    722. 

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    723. 

  723. </a>
    724. 

  724. <h3>Method Detail</h3>
    725. 

  725. <a name="buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-">
    726. 

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    727. 

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    729. 

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    730. 

  730. <h4>buildOpticalFlowPyramid</h4>
    731. 

  731. <pre>public static&nbsp;int&nbsp;buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    732. 

  732.                                           java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    733. 

  733.                                           <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    734. 

  734.                                           int&nbsp;maxLevel)</pre>
    735. 

  735. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    736. 

  736. <dl>
    737. 

  737. <dt><span class="paramLabel">Parameters:</span></dt>
    738. 

  738. <dd><code>img</code> - 8-bit input image.</dd>
    739. 

  739. <dd><code>pyramid</code> - output pyramid.</dd>
    740. 

  740. <dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
    741. 

  741.  calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
    742. 

  742. <dd><code>maxLevel</code> - 0-based maximal pyramid level number.
    743. 

  743.  constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.
    744. 

  744.  to force data copying.</dd>
    745. 

  745. <dt><span class="returnLabel">Returns:</span></dt>
    746. 

  746. <dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
    747. 

  747. </dl>
    748. 

  748. </li>
    749. 

  749. </ul>
    750. 

  750. <a name="buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-">
    751. 

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    752. 

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    753. 

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    754. 

  754. <li class="blockList">
    755. 

  755. <h4>buildOpticalFlowPyramid</h4>
    756. 

  756. <pre>public static&nbsp;int&nbsp;buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    757. 

  757.                                           java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    758. 

  758.                                           <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    759. 

  759.                                           int&nbsp;maxLevel,
    760. 

  760.                                           boolean&nbsp;withDerivatives)</pre>
    761. 

  761. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    762. 

  762. <dl>
    763. 

  763. <dt><span class="paramLabel">Parameters:</span></dt>
    764. 

  764. <dd><code>img</code> - 8-bit input image.</dd>
    765. 

  765. <dd><code>pyramid</code> - output pyramid.</dd>
    766. 

  766. <dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
    767. 

  767.  calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
    768. 

  768. <dd><code>maxLevel</code> - 0-based maximal pyramid level number.</dd>
    769. 

  769. <dd><code>withDerivatives</code> - set to precompute gradients for the every pyramid level. If pyramid is
    770. 

  770.  constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.
    771. 

  771.  to force data copying.</dd>
    772. 

  772. <dt><span class="returnLabel">Returns:</span></dt>
    773. 

  773. <dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
    774. 

  774. </dl>
    775. 

  775. </li>
    776. 

  776. </ul>
    777. 

  777. <a name="buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-">
    778. 

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    779. 

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    781. 

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    782. 

  782. <h4>buildOpticalFlowPyramid</h4>
    783. 

  783. <pre>public static&nbsp;int&nbsp;buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    784. 

  784.                                           java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    785. 

  785.                                           <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    786. 

  786.                                           int&nbsp;maxLevel,
    787. 

  787.                                           boolean&nbsp;withDerivatives,
    788. 

  788.                                           int&nbsp;pyrBorder)</pre>
    789. 

  789. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    790. 

  790. <dl>
    791. 

  791. <dt><span class="paramLabel">Parameters:</span></dt>
    792. 

  792. <dd><code>img</code> - 8-bit input image.</dd>
    793. 

  793. <dd><code>pyramid</code> - output pyramid.</dd>
    794. 

  794. <dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
    795. 

  795.  calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
    796. 

  796. <dd><code>maxLevel</code> - 0-based maximal pyramid level number.</dd>
    797. 

  797. <dd><code>withDerivatives</code> - set to precompute gradients for the every pyramid level. If pyramid is
    798. 

  798.  constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.</dd>
    799. 

  799. <dd><code>pyrBorder</code> - the border mode for pyramid layers.
    800. 

  800.  to force data copying.</dd>
    801. 

  801. <dt><span class="returnLabel">Returns:</span></dt>
    802. 

  802. <dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
    803. 

  803. </dl>
    804. 

  804. </li>
    805. 

  805. </ul>
    806. 

  806. <a name="buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-int-">
    807. 

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    808. 

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    810. 

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    811. 

  811. <h4>buildOpticalFlowPyramid</h4>
    812. 

  812. <pre>public static&nbsp;int&nbsp;buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    813. 

  813.                                           java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    814. 

  814.                                           <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    815. 

  815.                                           int&nbsp;maxLevel,
    816. 

  816.                                           boolean&nbsp;withDerivatives,
    817. 

  817.                                           int&nbsp;pyrBorder,
    818. 

  818.                                           int&nbsp;derivBorder)</pre>
    819. 

  819. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    820. 

  820. <dl>
    821. 

  821. <dt><span class="paramLabel">Parameters:</span></dt>
    822. 

  822. <dd><code>img</code> - 8-bit input image.</dd>
    823. 

  823. <dd><code>pyramid</code> - output pyramid.</dd>
    824. 

  824. <dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
    825. 

  825.  calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
    826. 

  826. <dd><code>maxLevel</code> - 0-based maximal pyramid level number.</dd>
    827. 

  827. <dd><code>withDerivatives</code> - set to precompute gradients for the every pyramid level. If pyramid is
    828. 

  828.  constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.</dd>
    829. 

  829. <dd><code>pyrBorder</code> - the border mode for pyramid layers.</dd>
    830. 

  830. <dd><code>derivBorder</code> - the border mode for gradients.
    831. 

  831.  to force data copying.</dd>
    832. 

  832. <dt><span class="returnLabel">Returns:</span></dt>
    833. 

  833. <dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
    834. 

  834. </dl>
    835. 

  835. </li>
    836. 

  836. </ul>
    837. 

  837. <a name="buildOpticalFlowPyramid-org.opencv.core.Mat-java.util.List-org.opencv.core.Size-int-boolean-int-int-boolean-">
    838. 

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    839. 

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    841. 

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    842. 

  842. <h4>buildOpticalFlowPyramid</h4>
    843. 

  843. <pre>public static&nbsp;int&nbsp;buildOpticalFlowPyramid(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;img,
    844. 

  844.                                           java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;pyramid,
    845. 

  845.                                           <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    846. 

  846.                                           int&nbsp;maxLevel,
    847. 

  847.                                           boolean&nbsp;withDerivatives,
    848. 

  848.                                           int&nbsp;pyrBorder,
    849. 

  849.                                           int&nbsp;derivBorder,
    850. 

  850.                                           boolean&nbsp;tryReuseInputImage)</pre>
    851. 

  851. <div class="block">Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.</div>
    852. 

  852. <dl>
    853. 

  853. <dt><span class="paramLabel">Parameters:</span></dt>
    854. 

  854. <dd><code>img</code> - 8-bit input image.</dd>
    855. 

  855. <dd><code>pyramid</code> - output pyramid.</dd>
    856. 

  856. <dd><code>winSize</code> - window size of optical flow algorithm. Must be not less than winSize argument of
    857. 

  857.  calcOpticalFlowPyrLK. It is needed to calculate required padding for pyramid levels.</dd>
    858. 

  858. <dd><code>maxLevel</code> - 0-based maximal pyramid level number.</dd>
    859. 

  859. <dd><code>withDerivatives</code> - set to precompute gradients for the every pyramid level. If pyramid is
    860. 

  860.  constructed without the gradients then calcOpticalFlowPyrLK will calculate them internally.</dd>
    861. 

  861. <dd><code>pyrBorder</code> - the border mode for pyramid layers.</dd>
    862. 

  862. <dd><code>derivBorder</code> - the border mode for gradients.</dd>
    863. 

  863. <dd><code>tryReuseInputImage</code> - put ROI of input image into the pyramid if possible. You can pass false
    864. 

  864.  to force data copying.</dd>
    865. 

  865. <dt><span class="returnLabel">Returns:</span></dt>
    866. 

  866. <dd>number of levels in constructed pyramid. Can be less than maxLevel.</dd>
    867. 

  867. </dl>
    868. 

  868. </li>
    869. 

  869. </ul>
    870. 

  870. <a name="calcOpticalFlowFarneback-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double-int-int-int-int-double-int-">
    871. 

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    872. 

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    873. 

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    874. 

  874. <li class="blockList">
    875. 

  875. <h4>calcOpticalFlowFarneback</h4>
    876. 

  876. <pre>public static&nbsp;void&nbsp;calcOpticalFlowFarneback(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prev,
    877. 

  877.                                             <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;next,
    878. 

  878.                                             <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;flow,
    879. 

  879.                                             double&nbsp;pyr_scale,
    880. 

  880.                                             int&nbsp;levels,
    881. 

  881.                                             int&nbsp;winsize,
    882. 

  882.                                             int&nbsp;iterations,
    883. 

  883.                                             int&nbsp;poly_n,
    884. 

  884.                                             double&nbsp;poly_sigma,
    885. 

  885.                                             int&nbsp;flags)</pre>
    886. 

  886. <div class="block">Computes a dense optical flow using the Gunnar Farneback's algorithm.</div>
    887. 

  887. <dl>
    888. 

  888. <dt><span class="paramLabel">Parameters:</span></dt>
    889. 

  889. <dd><code>prev</code> - first 8-bit single-channel input image.</dd>
    890. 

  890. <dd><code>next</code> - second input image of the same size and the same type as prev.</dd>
    891. 

  891. <dd><code>flow</code> - computed flow image that has the same size as prev and type CV_32FC2.</dd>
    892. 

  892. <dd><code>pyr_scale</code> - parameter, specifying the image scale (&lt;1) to build pyramids for each image;
    893. 

  893.  pyr_scale=0.5 means a classical pyramid, where each next layer is twice smaller than the previous
    894. 

  894.  one.</dd>
    895. 

  895. <dd><code>levels</code> - number of pyramid layers including the initial image; levels=1 means that no extra
    896. 

  896.  layers are created and only the original images are used.</dd>
    897. 

  897. <dd><code>winsize</code> - averaging window size; larger values increase the algorithm robustness to image
    898. 

  898.  noise and give more chances for fast motion detection, but yield more blurred motion field.</dd>
    899. 

  899. <dd><code>iterations</code> - number of iterations the algorithm does at each pyramid level.</dd>
    900. 

  900. <dd><code>poly_n</code> - size of the pixel neighborhood used to find polynomial expansion in each pixel;
    901. 

  901.  larger values mean that the image will be approximated with smoother surfaces, yielding more
    902. 

  902.  robust algorithm and more blurred motion field, typically poly_n =5 or 7.</dd>
    903. 

  903. <dd><code>poly_sigma</code> - standard deviation of the Gaussian that is used to smooth derivatives used as a
    904. 

  904.  basis for the polynomial expansion; for poly_n=5, you can set poly_sigma=1.1, for poly_n=7, a
    905. 

  905.  good value would be poly_sigma=1.5.</dd>
    906. 

  906. <dd><code>flags</code> - operation flags that can be a combination of the following:
    907. 

  907.  <ul>
    908. 

  908.    <li>
    909. 

  909.      <b>OPTFLOW_USE_INITIAL_FLOW</b> uses the input flow as an initial flow approximation.
    910. 

  910.    </li>
    911. 

  911.    <li>
    912. 

  912.      <b>OPTFLOW_FARNEBACK_GAUSSIAN</b> uses the Gaussian \(\texttt{winsize}\times\texttt{winsize}\)
    913. 

  913.       filter instead of a box filter of the same size for optical flow estimation; usually, this
    914. 

  914.       option gives z more accurate flow than with a box filter, at the cost of lower speed;
    915. 

  915.       normally, winsize for a Gaussian window should be set to a larger value to achieve the same
    916. 

  916.       level of robustness.
    917. 

  917.    </li>
    918. 

  918.  </ul>
    919. 

  919. 

  920.  The function finds an optical flow for each prev pixel using the CITE: Farneback2003 algorithm so that
    921. 

  921. 

  922.  \(\texttt{prev} (y,x)  \sim \texttt{next} ( y + \texttt{flow} (y,x)[1],  x + \texttt{flow} (y,x)[0])\)
    923. 

  923. 

  924.  <b>Note:</b>
    925. 

  925. 

  926.  <ul>
    927. 

  927.    <li>
    928. 

  928.     An example using the optical flow algorithm described by Gunnar Farneback can be found at
    929. 

  929.      opencv_source_code/samples/cpp/fback.cpp
    930. 

  930.    </li>
    931. 

  931.    <li>
    932. 

  932.     (Python) An example using the optical flow algorithm described by Gunnar Farneback can be
    933. 

  933.      found at opencv_source_code/samples/python/opt_flow.py
    934. 

  934.    </li>
    935. 

  935.  </ul></dd>
    936. 

  936. </dl>
    937. 

  937. </li>
    938. 

  938. </ul>
    939. 

  939. <a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-">
    940. 

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    941. 

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    942. 

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    943. 

  943. <li class="blockList">
    944. 

  944. <h4>calcOpticalFlowPyrLK</h4>
    945. 

  945. <pre>public static&nbsp;void&nbsp;calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    946. 

  946.                                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    947. 

  947.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    948. 

  948.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    949. 

  949.                                         <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    950. 

  950.                                         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err)</pre>
    951. 

  951. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    952. 

  952.  pyramids.</div>
    953. 

  953. <dl>
    954. 

  954. <dt><span class="paramLabel">Parameters:</span></dt>
    955. 

  955. <dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
    956. 

  956. <dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
    957. 

  957. <dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
    958. 

  958.  single-precision floating-point numbers.</dd>
    959. 

  959. <dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
    960. 

  960.  containing the calculated new positions of input features in the second image; when
    961. 

  961.  OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
    962. 

  962. <dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
    963. 

  963.  the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
    964. 

  964. <dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
    965. 

  965.  corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
    966. 

  966.  found then the error is not defined (use the status parameter to find such cases).
    967. 

  967.  level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
    968. 

  968.  algorithm will use as many levels as pyramids have but no more than maxLevel.
    969. 

  969.  (after the specified maximum number of iterations criteria.maxCount or when the search window
    970. 

  970.  moves by less than criteria.epsilon.
    971. 

  971.  <ul>
    972. 

  972.    <li>
    973. 

  973.      <b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
    974. 

  974.       not set, then prevPts is copied to nextPts and is considered the initial estimate.
    975. 

  975.    </li>
    976. 

  976.    <li>
    977. 

  977.      <b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
    978. 

  978.       minEigThreshold description); if the flag is not set, then L1 distance between patches
    979. 

  979.       around the original and a moved point, divided by number of pixels in a window, is used as a
    980. 

  980.       error measure.
    981. 

  981.    </li>
    982. 

  982.  </ul>
    983. 

  983.  optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
    984. 

  984.  by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
    985. 

  985.  feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
    986. 

  986.  performance boost.
    987. 

  987. 

  988.  The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
    989. 

  989.  CITE: Bouguet00 . The function is parallelized with the TBB library.
    990. 

  990. 

  991.  <b>Note:</b>
    992. 

  992. 

  993.  <ul>
    994. 

  994.    <li>
    995. 

  995.     An example using the Lucas-Kanade optical flow algorithm can be found at
    996. 

  996.      opencv_source_code/samples/cpp/lkdemo.cpp
    997. 

  997.    </li>
    998. 

  998.    <li>
    999. 

  999.     (Python) An example using the Lucas-Kanade optical flow algorithm can be found at
    1000. 

  1000.      opencv_source_code/samples/python/lk_track.py
    1001. 

  1001.    </li>
    1002. 

  1002.    <li>
    1003. 

  1003.     (Python) An example using the Lucas-Kanade tracker for homography matching can be found at
    1004. 

  1004.      opencv_source_code/samples/python/lk_homography.py
    1005. 

  1005.    </li>
    1006. 

  1006.  </ul></dd>
    1007. 

  1007. </dl>
    1008. 

  1008. </li>
    1009. 

  1009. </ul>
    1010. 

  1010. <a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-">
    1011. 

  1011. <!--   -->
    1012. 

  1012. </a>
    1013. 

  1013. <ul class="blockList">
    1014. 

  1014. <li class="blockList">
    1015. 

  1015. <h4>calcOpticalFlowPyrLK</h4>
    1016. 

  1016. <pre>public static&nbsp;void&nbsp;calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    1017. 

  1017.                                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    1018. 

  1018.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    1019. 

  1019.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    1020. 

  1020.                                         <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    1021. 

  1021.                                         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    1022. 

  1022.                                         <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize)</pre>
    1023. 

  1023. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    1024. 

  1024.  pyramids.</div>
    1025. 

  1025. <dl>
    1026. 

  1026. <dt><span class="paramLabel">Parameters:</span></dt>
    1027. 

  1027. <dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
    1028. 

  1028. <dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
    1029. 

  1029. <dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
    1030. 

  1030.  single-precision floating-point numbers.</dd>
    1031. 

  1031. <dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
    1032. 

  1032.  containing the calculated new positions of input features in the second image; when
    1033. 

  1033.  OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
    1034. 

  1034. <dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
    1035. 

  1035.  the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
    1036. 

  1036. <dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
    1037. 

  1037.  corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
    1038. 

  1038.  found then the error is not defined (use the status parameter to find such cases).</dd>
    1039. 

  1039. <dd><code>winSize</code> - size of the search window at each pyramid level.
    1040. 

  1040.  level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
    1041. 

  1041.  algorithm will use as many levels as pyramids have but no more than maxLevel.
    1042. 

  1042.  (after the specified maximum number of iterations criteria.maxCount or when the search window
    1043. 

  1043.  moves by less than criteria.epsilon.
    1044. 

  1044.  <ul>
    1045. 

  1045.    <li>
    1046. 

  1046.      <b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
    1047. 

  1047.       not set, then prevPts is copied to nextPts and is considered the initial estimate.
    1048. 

  1048.    </li>
    1049. 

  1049.    <li>
    1050. 

  1050.      <b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
    1051. 

  1051.       minEigThreshold description); if the flag is not set, then L1 distance between patches
    1052. 

  1052.       around the original and a moved point, divided by number of pixels in a window, is used as a
    1053. 

  1053.       error measure.
    1054. 

  1054.    </li>
    1055. 

  1055.  </ul>
    1056. 

  1056.  optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
    1057. 

  1057.  by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
    1058. 

  1058.  feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
    1059. 

  1059.  performance boost.
    1060. 

  1060. 

  1061.  The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
    1062. 

  1062.  CITE: Bouguet00 . The function is parallelized with the TBB library.
    1063. 

  1063. 

  1064.  <b>Note:</b>
    1065. 

  1065. 

  1066.  <ul>
    1067. 

  1067.    <li>
    1068. 

  1068.     An example using the Lucas-Kanade optical flow algorithm can be found at
    1069. 

  1069.      opencv_source_code/samples/cpp/lkdemo.cpp
    1070. 

  1070.    </li>
    1071. 

  1071.    <li>
    1072. 

  1072.     (Python) An example using the Lucas-Kanade optical flow algorithm can be found at
    1073. 

  1073.      opencv_source_code/samples/python/lk_track.py
    1074. 

  1074.    </li>
    1075. 

  1075.    <li>
    1076. 

  1076.     (Python) An example using the Lucas-Kanade tracker for homography matching can be found at
    1077. 

  1077.      opencv_source_code/samples/python/lk_homography.py
    1078. 

  1078.    </li>
    1079. 

  1079.  </ul></dd>
    1080. 

  1080. </dl>
    1081. 

  1081. </li>
    1082. 

  1082. </ul>
    1083. 

  1083. <a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-">
    1084. 

  1084. <!--   -->
    1085. 

  1085. </a>
    1086. 

  1086. <ul class="blockList">
    1087. 

  1087. <li class="blockList">
    1088. 

  1088. <h4>calcOpticalFlowPyrLK</h4>
    1089. 

  1089. <pre>public static&nbsp;void&nbsp;calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    1090. 

  1090.                                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    1091. 

  1091.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    1092. 

  1092.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    1093. 

  1093.                                         <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    1094. 

  1094.                                         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    1095. 

  1095.                                         <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    1096. 

  1096.                                         int&nbsp;maxLevel)</pre>
    1097. 

  1097. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    1098. 

  1098.  pyramids.</div>
    1099. 

  1099. <dl>
    1100. 

  1100. <dt><span class="paramLabel">Parameters:</span></dt>
    1101. 

  1101. <dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
    1102. 

  1102. <dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
    1103. 

  1103. <dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
    1104. 

  1104.  single-precision floating-point numbers.</dd>
    1105. 

  1105. <dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
    1106. 

  1106.  containing the calculated new positions of input features in the second image; when
    1107. 

  1107.  OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
    1108. 

  1108. <dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
    1109. 

  1109.  the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
    1110. 

  1110. <dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
    1111. 

  1111.  corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
    1112. 

  1112.  found then the error is not defined (use the status parameter to find such cases).</dd>
    1113. 

  1113. <dd><code>winSize</code> - size of the search window at each pyramid level.</dd>
    1114. 

  1114. <dd><code>maxLevel</code> - 0-based maximal pyramid level number; if set to 0, pyramids are not used (single
    1115. 

  1115.  level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
    1116. 

  1116.  algorithm will use as many levels as pyramids have but no more than maxLevel.
    1117. 

  1117.  (after the specified maximum number of iterations criteria.maxCount or when the search window
    1118. 

  1118.  moves by less than criteria.epsilon.
    1119. 

  1119.  <ul>
    1120. 

  1120.    <li>
    1121. 

  1121.      <b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
    1122. 

  1122.       not set, then prevPts is copied to nextPts and is considered the initial estimate.
    1123. 

  1123.    </li>
    1124. 

  1124.    <li>
    1125. 

  1125.      <b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
    1126. 

  1126.       minEigThreshold description); if the flag is not set, then L1 distance between patches
    1127. 

  1127.       around the original and a moved point, divided by number of pixels in a window, is used as a
    1128. 

  1128.       error measure.
    1129. 

  1129.    </li>
    1130. 

  1130.  </ul>
    1131. 

  1131.  optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
    1132. 

  1132.  by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
    1133. 

  1133.  feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
    1134. 

  1134.  performance boost.
    1135. 

  1135. 

  1136.  The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
    1137. 

  1137.  CITE: Bouguet00 . The function is parallelized with the TBB library.
    1138. 

  1138. 

  1139.  <b>Note:</b>
    1140. 

  1140. 

  1141.  <ul>
    1142. 

  1142.    <li>
    1143. 

  1143.     An example using the Lucas-Kanade optical flow algorithm can be found at
    1144. 

  1144.      opencv_source_code/samples/cpp/lkdemo.cpp
    1145. 

  1145.    </li>
    1146. 

  1146.    <li>
    1147. 

  1147.     (Python) An example using the Lucas-Kanade optical flow algorithm can be found at
    1148. 

  1148.      opencv_source_code/samples/python/lk_track.py
    1149. 

  1149.    </li>
    1150. 

  1150.    <li>
    1151. 

  1151.     (Python) An example using the Lucas-Kanade tracker for homography matching can be found at
    1152. 

  1152.      opencv_source_code/samples/python/lk_homography.py
    1153. 

  1153.    </li>
    1154. 

  1154.  </ul></dd>
    1155. 

  1155. </dl>
    1156. 

  1156. </li>
    1157. 

  1157. </ul>
    1158. 

  1158. <a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-">
    1159. 

  1159. <!--   -->
    1160. 

  1160. </a>
    1161. 

  1161. <ul class="blockList">
    1162. 

  1162. <li class="blockList">
    1163. 

  1163. <h4>calcOpticalFlowPyrLK</h4>
    1164. 

  1164. <pre>public static&nbsp;void&nbsp;calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    1165. 

  1165.                                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    1166. 

  1166.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    1167. 

  1167.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    1168. 

  1168.                                         <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    1169. 

  1169.                                         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    1170. 

  1170.                                         <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    1171. 

  1171.                                         int&nbsp;maxLevel,
    1172. 

  1172.                                         <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria)</pre>
    1173. 

  1173. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    1174. 

  1174.  pyramids.</div>
    1175. 

  1175. <dl>
    1176. 

  1176. <dt><span class="paramLabel">Parameters:</span></dt>
    1177. 

  1177. <dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
    1178. 

  1178. <dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
    1179. 

  1179. <dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
    1180. 

  1180.  single-precision floating-point numbers.</dd>
    1181. 

  1181. <dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
    1182. 

  1182.  containing the calculated new positions of input features in the second image; when
    1183. 

  1183.  OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
    1184. 

  1184. <dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
    1185. 

  1185.  the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
    1186. 

  1186. <dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
    1187. 

  1187.  corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
    1188. 

  1188.  found then the error is not defined (use the status parameter to find such cases).</dd>
    1189. 

  1189. <dd><code>winSize</code> - size of the search window at each pyramid level.</dd>
    1190. 

  1190. <dd><code>maxLevel</code> - 0-based maximal pyramid level number; if set to 0, pyramids are not used (single
    1191. 

  1191.  level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
    1192. 

  1192.  algorithm will use as many levels as pyramids have but no more than maxLevel.</dd>
    1193. 

  1193. <dd><code>criteria</code> - parameter, specifying the termination criteria of the iterative search algorithm
    1194. 

  1194.  (after the specified maximum number of iterations criteria.maxCount or when the search window
    1195. 

  1195.  moves by less than criteria.epsilon.
    1196. 

  1196.  <ul>
    1197. 

  1197.    <li>
    1198. 

  1198.      <b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
    1199. 

  1199.       not set, then prevPts is copied to nextPts and is considered the initial estimate.
    1200. 

  1200.    </li>
    1201. 

  1201.    <li>
    1202. 

  1202.      <b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
    1203. 

  1203.       minEigThreshold description); if the flag is not set, then L1 distance between patches
    1204. 

  1204.       around the original and a moved point, divided by number of pixels in a window, is used as a
    1205. 

  1205.       error measure.
    1206. 

  1206.    </li>
    1207. 

  1207.  </ul>
    1208. 

  1208.  optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
    1209. 

  1209.  by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
    1210. 

  1210.  feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
    1211. 

  1211.  performance boost.
    1212. 

  1212. 

  1213.  The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
    1214. 

  1214.  CITE: Bouguet00 . The function is parallelized with the TBB library.
    1215. 

  1215. 

  1216.  <b>Note:</b>
    1217. 

  1217. 

  1218.  <ul>
    1219. 

  1219.    <li>
    1220. 

  1220.     An example using the Lucas-Kanade optical flow algorithm can be found at
    1221. 

  1221.      opencv_source_code/samples/cpp/lkdemo.cpp
    1222. 

  1222.    </li>
    1223. 

  1223.    <li>
    1224. 

  1224.     (Python) An example using the Lucas-Kanade optical flow algorithm can be found at
    1225. 

  1225.      opencv_source_code/samples/python/lk_track.py
    1226. 

  1226.    </li>
    1227. 

  1227.    <li>
    1228. 

  1228.     (Python) An example using the Lucas-Kanade tracker for homography matching can be found at
    1229. 

  1229.      opencv_source_code/samples/python/lk_homography.py
    1230. 

  1230.    </li>
    1231. 

  1231.  </ul></dd>
    1232. 

  1232. </dl>
    1233. 

  1233. </li>
    1234. 

  1234. </ul>
    1235. 

  1235. <a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-int-">
    1236. 

  1236. <!--   -->
    1237. 

  1237. </a>
    1238. 

  1238. <ul class="blockList">
    1239. 

  1239. <li class="blockList">
    1240. 

  1240. <h4>calcOpticalFlowPyrLK</h4>
    1241. 

  1241. <pre>public static&nbsp;void&nbsp;calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    1242. 

  1242.                                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    1243. 

  1243.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    1244. 

  1244.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    1245. 

  1245.                                         <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    1246. 

  1246.                                         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    1247. 

  1247.                                         <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    1248. 

  1248.                                         int&nbsp;maxLevel,
    1249. 

  1249.                                         <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria,
    1250. 

  1250.                                         int&nbsp;flags)</pre>
    1251. 

  1251. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    1252. 

  1252.  pyramids.</div>
    1253. 

  1253. <dl>
    1254. 

  1254. <dt><span class="paramLabel">Parameters:</span></dt>
    1255. 

  1255. <dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
    1256. 

  1256. <dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
    1257. 

  1257. <dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
    1258. 

  1258.  single-precision floating-point numbers.</dd>
    1259. 

  1259. <dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
    1260. 

  1260.  containing the calculated new positions of input features in the second image; when
    1261. 

  1261.  OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
    1262. 

  1262. <dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
    1263. 

  1263.  the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
    1264. 

  1264. <dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
    1265. 

  1265.  corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
    1266. 

  1266.  found then the error is not defined (use the status parameter to find such cases).</dd>
    1267. 

  1267. <dd><code>winSize</code> - size of the search window at each pyramid level.</dd>
    1268. 

  1268. <dd><code>maxLevel</code> - 0-based maximal pyramid level number; if set to 0, pyramids are not used (single
    1269. 

  1269.  level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
    1270. 

  1270.  algorithm will use as many levels as pyramids have but no more than maxLevel.</dd>
    1271. 

  1271. <dd><code>criteria</code> - parameter, specifying the termination criteria of the iterative search algorithm
    1272. 

  1272.  (after the specified maximum number of iterations criteria.maxCount or when the search window
    1273. 

  1273.  moves by less than criteria.epsilon.</dd>
    1274. 

  1274. <dd><code>flags</code> - operation flags:
    1275. 

  1275.  <ul>
    1276. 

  1276.    <li>
    1277. 

  1277.      <b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
    1278. 

  1278.       not set, then prevPts is copied to nextPts and is considered the initial estimate.
    1279. 

  1279.    </li>
    1280. 

  1280.    <li>
    1281. 

  1281.      <b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
    1282. 

  1282.       minEigThreshold description); if the flag is not set, then L1 distance between patches
    1283. 

  1283.       around the original and a moved point, divided by number of pixels in a window, is used as a
    1284. 

  1284.       error measure.
    1285. 

  1285.    </li>
    1286. 

  1286.  </ul>
    1287. 

  1287.  optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
    1288. 

  1288.  by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
    1289. 

  1289.  feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
    1290. 

  1290.  performance boost.
    1291. 

  1291. 

  1292.  The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
    1293. 

  1293.  CITE: Bouguet00 . The function is parallelized with the TBB library.
    1294. 

  1294. 

  1295.  <b>Note:</b>
    1296. 

  1296. 

  1297.  <ul>
    1298. 

  1298.    <li>
    1299. 

  1299.     An example using the Lucas-Kanade optical flow algorithm can be found at
    1300. 

  1300.      opencv_source_code/samples/cpp/lkdemo.cpp
    1301. 

  1301.    </li>
    1302. 

  1302.    <li>
    1303. 

  1303.     (Python) An example using the Lucas-Kanade optical flow algorithm can be found at
    1304. 

  1304.      opencv_source_code/samples/python/lk_track.py
    1305. 

  1305.    </li>
    1306. 

  1306.    <li>
    1307. 

  1307.     (Python) An example using the Lucas-Kanade tracker for homography matching can be found at
    1308. 

  1308.      opencv_source_code/samples/python/lk_homography.py
    1309. 

  1309.    </li>
    1310. 

  1310.  </ul></dd>
    1311. 

  1311. </dl>
    1312. 

  1312. </li>
    1313. 

  1313. </ul>
    1314. 

  1314. <a name="calcOpticalFlowPyrLK-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfPoint2f-org.opencv.core.MatOfByte-org.opencv.core.MatOfFloat-org.opencv.core.Size-int-org.opencv.core.TermCriteria-int-double-">
    1315. 

  1315. <!--   -->
    1316. 

  1316. </a>
    1317. 

  1317. <ul class="blockList">
    1318. 

  1318. <li class="blockList">
    1319. 

  1319. <h4>calcOpticalFlowPyrLK</h4>
    1320. 

  1320. <pre>public static&nbsp;void&nbsp;calcOpticalFlowPyrLK(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;prevImg,
    1321. 

  1321.                                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;nextImg,
    1322. 

  1322.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;prevPts,
    1323. 

  1323.                                         <a href="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</a>&nbsp;nextPts,
    1324. 

  1324.                                         <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;status,
    1325. 

  1325.                                         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;err,
    1326. 

  1326.                                         <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;winSize,
    1327. 

  1327.                                         int&nbsp;maxLevel,
    1328. 

  1328.                                         <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria,
    1329. 

  1329.                                         int&nbsp;flags,
    1330. 

  1330.                                         double&nbsp;minEigThreshold)</pre>
    1331. 

  1331. <div class="block">Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
    1332. 

  1332.  pyramids.</div>
    1333. 

  1333. <dl>
    1334. 

  1334. <dt><span class="paramLabel">Parameters:</span></dt>
    1335. 

  1335. <dd><code>prevImg</code> - first 8-bit input image or pyramid constructed by buildOpticalFlowPyramid.</dd>
    1336. 

  1336. <dd><code>nextImg</code> - second input image or pyramid of the same size and the same type as prevImg.</dd>
    1337. 

  1337. <dd><code>prevPts</code> - vector of 2D points for which the flow needs to be found; point coordinates must be
    1338. 

  1338.  single-precision floating-point numbers.</dd>
    1339. 

  1339. <dd><code>nextPts</code> - output vector of 2D points (with single-precision floating-point coordinates)
    1340. 

  1340.  containing the calculated new positions of input features in the second image; when
    1341. 

  1341.  OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.</dd>
    1342. 

  1342. <dd><code>status</code> - output status vector (of unsigned chars); each element of the vector is set to 1 if
    1343. 

  1343.  the flow for the corresponding features has been found, otherwise, it is set to 0.</dd>
    1344. 

  1344. <dd><code>err</code> - output vector of errors; each element of the vector is set to an error for the
    1345. 

  1345.  corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't
    1346. 

  1346.  found then the error is not defined (use the status parameter to find such cases).</dd>
    1347. 

  1347. <dd><code>winSize</code> - size of the search window at each pyramid level.</dd>
    1348. 

  1348. <dd><code>maxLevel</code> - 0-based maximal pyramid level number; if set to 0, pyramids are not used (single
    1349. 

  1349.  level), if set to 1, two levels are used, and so on; if pyramids are passed to input then
    1350. 

  1350.  algorithm will use as many levels as pyramids have but no more than maxLevel.</dd>
    1351. 

  1351. <dd><code>criteria</code> - parameter, specifying the termination criteria of the iterative search algorithm
    1352. 

  1352.  (after the specified maximum number of iterations criteria.maxCount or when the search window
    1353. 

  1353.  moves by less than criteria.epsilon.</dd>
    1354. 

  1354. <dd><code>flags</code> - operation flags:
    1355. 

  1355.  <ul>
    1356. 

  1356.    <li>
    1357. 

  1357.      <b>OPTFLOW_USE_INITIAL_FLOW</b> uses initial estimations, stored in nextPts; if the flag is
    1358. 

  1358.       not set, then prevPts is copied to nextPts and is considered the initial estimate.
    1359. 

  1359.    </li>
    1360. 

  1360.    <li>
    1361. 

  1361.      <b>OPTFLOW_LK_GET_MIN_EIGENVALS</b> use minimum eigen values as an error measure (see
    1362. 

  1362.       minEigThreshold description); if the flag is not set, then L1 distance between patches
    1363. 

  1363.       around the original and a moved point, divided by number of pixels in a window, is used as a
    1364. 

  1364.       error measure.
    1365. 

  1365.    </li>
    1366. 

  1366.  </ul></dd>
    1367. 

  1367. <dd><code>minEigThreshold</code> - the algorithm calculates the minimum eigen value of a 2x2 normal matrix of
    1368. 

  1368.  optical flow equations (this matrix is called a spatial gradient matrix in CITE: Bouguet00), divided
    1369. 

  1369.  by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding
    1370. 

  1370.  feature is filtered out and its flow is not processed, so it allows to remove bad points and get a
    1371. 

  1371.  performance boost.
    1372. 

  1372. 

  1373.  The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
    1374. 

  1374.  CITE: Bouguet00 . The function is parallelized with the TBB library.
    1375. 

  1375. 

  1376.  <b>Note:</b>
    1377. 

  1377. 

  1378.  <ul>
    1379. 

  1379.    <li>
    1380. 

  1380.     An example using the Lucas-Kanade optical flow algorithm can be found at
    1381. 

  1381.      opencv_source_code/samples/cpp/lkdemo.cpp
    1382. 

  1382.    </li>
    1383. 

  1383.    <li>
    1384. 

  1384.     (Python) An example using the Lucas-Kanade optical flow algorithm can be found at
    1385. 

  1385.      opencv_source_code/samples/python/lk_track.py
    1386. 

  1386.    </li>
    1387. 

  1387.    <li>
    1388. 

  1388.     (Python) An example using the Lucas-Kanade tracker for homography matching can be found at
    1389. 

  1389.      opencv_source_code/samples/python/lk_homography.py
    1390. 

  1390.    </li>
    1391. 

  1391.  </ul></dd>
    1392. 

  1392. </dl>
    1393. 

  1393. </li>
    1394. 

  1394. </ul>
    1395. 

  1395. <a name="CamShift-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.TermCriteria-">
    1396. 

  1396. <!--   -->
    1397. 

  1397. </a>
    1398. 

  1398. <ul class="blockList">
    1399. 

  1399. <li class="blockList">
    1400. 

  1400. <h4>CamShift</h4>
    1401. 

  1401. <pre>public static&nbsp;<a href="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</a>&nbsp;CamShift(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;probImage,
    1402. 

  1402.                                    <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a>&nbsp;window,
    1403. 

  1403.                                    <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria)</pre>
    1404. 

  1404. <div class="block">Finds an object center, size, and orientation.</div>
    1405. 

  1405. <dl>
    1406. 

  1406. <dt><span class="paramLabel">Parameters:</span></dt>
    1407. 

  1407. <dd><code>probImage</code> - Back projection of the object histogram. See calcBackProject.</dd>
    1408. 

  1408. <dd><code>window</code> - Initial search window.</dd>
    1409. 

  1409. <dd><code>criteria</code> - Stop criteria for the underlying meanShift.
    1410. 

  1410.  returns
    1411. 

  1411.  (in old interfaces) Number of iterations CAMSHIFT took to converge
    1412. 

  1412.  The function implements the CAMSHIFT object tracking algorithm CITE: Bradski98 . First, it finds an
    1413. 

  1413.  object center using meanShift and then adjusts the window size and finds the optimal rotation. The
    1414. 

  1414.  function returns the rotated rectangle structure that includes the object position, size, and
    1415. 

  1415.  orientation. The next position of the search window can be obtained with RotatedRect::boundingRect()
    1416. 

  1416. 

  1417.  See the OpenCV sample camshiftdemo.c that tracks colored objects.
    1418. 

  1418. 

  1419.  <b>Note:</b>
    1420. 

  1420.  <ul>
    1421. 

  1421.    <li>
    1422. 

  1422.     (Python) A sample explaining the camshift tracking algorithm can be found at
    1423. 

  1423.      opencv_source_code/samples/python/camshift.py
    1424. 

  1424.    </li>
    1425. 

  1425.  </ul></dd>
    1426. 

  1426. <dt><span class="returnLabel">Returns:</span></dt>
    1427. 

  1427. <dd>automatically generated</dd>
    1428. 

  1428. </dl>
    1429. 

  1429. </li>
    1430. 

  1430. </ul>
    1431. 

  1431. <a name="computeECC-org.opencv.core.Mat-org.opencv.core.Mat-">
    1432. 

  1432. <!--   -->
    1433. 

  1433. </a>
    1434. 

  1434. <ul class="blockList">
    1435. 

  1435. <li class="blockList">
    1436. 

  1436. <h4>computeECC</h4>
    1437. 

  1437. <pre>public static&nbsp;double&nbsp;computeECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    1438. 

  1438.                                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage)</pre>
    1439. 

  1439. <div class="block">Computes the Enhanced Correlation Coefficient value between two images CITE: EP08 .</div>
    1440. 

  1440. <dl>
    1441. 

  1441. <dt><span class="paramLabel">Parameters:</span></dt>
    1442. 

  1442. <dd><code>templateImage</code> - single-channel template image; CV_8U or CV_32F array.</dd>
    1443. 

  1443. <dd><code>inputImage</code> - single-channel input image to be warped to provide an image similar to
    1444. 

  1444.   templateImage, same type as templateImage.
    1445. 

  1445. 

  1446.  SEE:
    1447. 

  1447.  findTransformECC</dd>
    1448. 

  1448. <dt><span class="returnLabel">Returns:</span></dt>
    1449. 

  1449. <dd>automatically generated</dd>
    1450. 

  1450. </dl>
    1451. 

  1451. </li>
    1452. 

  1452. </ul>
    1453. 

  1453. <a name="computeECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
    1454. 

  1454. <!--   -->
    1455. 

  1455. </a>
    1456. 

  1456. <ul class="blockList">
    1457. 

  1457. <li class="blockList">
    1458. 

  1458. <h4>computeECC</h4>
    1459. 

  1459. <pre>public static&nbsp;double&nbsp;computeECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    1460. 

  1460.                                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    1461. 

  1461.                                 <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputMask)</pre>
    1462. 

  1462. <div class="block">Computes the Enhanced Correlation Coefficient value between two images CITE: EP08 .</div>
    1463. 

  1463. <dl>
    1464. 

  1464. <dt><span class="paramLabel">Parameters:</span></dt>
    1465. 

  1465. <dd><code>templateImage</code> - single-channel template image; CV_8U or CV_32F array.</dd>
    1466. 

  1466. <dd><code>inputImage</code> - single-channel input image to be warped to provide an image similar to
    1467. 

  1467.   templateImage, same type as templateImage.</dd>
    1468. 

  1468. <dd><code>inputMask</code> - An optional mask to indicate valid values of inputImage.
    1469. 

  1469. 

  1470.  SEE:
    1471. 

  1471.  findTransformECC</dd>
    1472. 

  1472. <dt><span class="returnLabel">Returns:</span></dt>
    1473. 

  1473. <dd>automatically generated</dd>
    1474. 

  1474. </dl>
    1475. 

  1475. </li>
    1476. 

  1476. </ul>
    1477. 

  1477. <a name="createBackgroundSubtractorKNN--">
    1478. 

  1478. <!--   -->
    1479. 

  1479. </a>
    1480. 

  1480. <ul class="blockList">
    1481. 

  1481. <li class="blockList">
    1482. 

  1482. <h4>createBackgroundSubtractorKNN</h4>
    1483. 

  1483. <pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a>&nbsp;createBackgroundSubtractorKNN()</pre>
    1484. 

  1484. <div class="block">Creates KNN Background Subtractor
    1485. 

  1485. 

  1486.  whether a pixel is close to that sample. This parameter does not affect the background update.
    1487. 

  1487.  speed a bit, so if you do not need this feature, set the parameter to false.</div>
    1488. 

  1488. <dl>
    1489. 

  1489. <dt><span class="returnLabel">Returns:</span></dt>
    1490. 

  1490. <dd>automatically generated</dd>
    1491. 

  1491. </dl>
    1492. 

  1492. </li>
    1493. 

  1493. </ul>
    1494. 

  1494. <a name="createBackgroundSubtractorKNN-int-">
    1495. 

  1495. <!--   -->
    1496. 

  1496. </a>
    1497. 

  1497. <ul class="blockList">
    1498. 

  1498. <li class="blockList">
    1499. 

  1499. <h4>createBackgroundSubtractorKNN</h4>
    1500. 

  1500. <pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a>&nbsp;createBackgroundSubtractorKNN(int&nbsp;history)</pre>
    1501. 

  1501. <div class="block">Creates KNN Background Subtractor</div>
    1502. 

  1502. <dl>
    1503. 

  1503. <dt><span class="paramLabel">Parameters:</span></dt>
    1504. 

  1504. <dd><code>history</code> - Length of the history.
    1505. 

  1505.  whether a pixel is close to that sample. This parameter does not affect the background update.
    1506. 

  1506.  speed a bit, so if you do not need this feature, set the parameter to false.</dd>
    1507. 

  1507. <dt><span class="returnLabel">Returns:</span></dt>
    1508. 

  1508. <dd>automatically generated</dd>
    1509. 

  1509. </dl>
    1510. 

  1510. </li>
    1511. 

  1511. </ul>
    1512. 

  1512. <a name="createBackgroundSubtractorKNN-int-double-">
    1513. 

  1513. <!--   -->
    1514. 

  1514. </a>
    1515. 

  1515. <ul class="blockList">
    1516. 

  1516. <li class="blockList">
    1517. 

  1517. <h4>createBackgroundSubtractorKNN</h4>
    1518. 

  1518. <pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a>&nbsp;createBackgroundSubtractorKNN(int&nbsp;history,
    1519. 

  1519.                                                                     double&nbsp;dist2Threshold)</pre>
    1520. 

  1520. <div class="block">Creates KNN Background Subtractor</div>
    1521. 

  1521. <dl>
    1522. 

  1522. <dt><span class="paramLabel">Parameters:</span></dt>
    1523. 

  1523. <dd><code>history</code> - Length of the history.</dd>
    1524. 

  1524. <dd><code>dist2Threshold</code> - Threshold on the squared distance between the pixel and the sample to decide
    1525. 

  1525.  whether a pixel is close to that sample. This parameter does not affect the background update.
    1526. 

  1526.  speed a bit, so if you do not need this feature, set the parameter to false.</dd>
    1527. 

  1527. <dt><span class="returnLabel">Returns:</span></dt>
    1528. 

  1528. <dd>automatically generated</dd>
    1529. 

  1529. </dl>
    1530. 

  1530. </li>
    1531. 

  1531. </ul>
    1532. 

  1532. <a name="createBackgroundSubtractorKNN-int-double-boolean-">
    1533. 

  1533. <!--   -->
    1534. 

  1534. </a>
    1535. 

  1535. <ul class="blockList">
    1536. 

  1536. <li class="blockList">
    1537. 

  1537. <h4>createBackgroundSubtractorKNN</h4>
    1538. 

  1538. <pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a>&nbsp;createBackgroundSubtractorKNN(int&nbsp;history,
    1539. 

  1539.                                                                     double&nbsp;dist2Threshold,
    1540. 

  1540.                                                                     boolean&nbsp;detectShadows)</pre>
    1541. 

  1541. <div class="block">Creates KNN Background Subtractor</div>
    1542. 

  1542. <dl>
    1543. 

  1543. <dt><span class="paramLabel">Parameters:</span></dt>
    1544. 

  1544. <dd><code>history</code> - Length of the history.</dd>
    1545. 

  1545. <dd><code>dist2Threshold</code> - Threshold on the squared distance between the pixel and the sample to decide
    1546. 

  1546.  whether a pixel is close to that sample. This parameter does not affect the background update.</dd>
    1547. 

  1547. <dd><code>detectShadows</code> - If true, the algorithm will detect shadows and mark them. It decreases the
    1548. 

  1548.  speed a bit, so if you do not need this feature, set the parameter to false.</dd>
    1549. 

  1549. <dt><span class="returnLabel">Returns:</span></dt>
    1550. 

  1550. <dd>automatically generated</dd>
    1551. 

  1551. </dl>
    1552. 

  1552. </li>
    1553. 

  1553. </ul>
    1554. 

  1554. <a name="createBackgroundSubtractorMOG2--">
    1555. 

  1555. <!--   -->
    1556. 

  1556. </a>
    1557. 

  1557. <ul class="blockList">
    1558. 

  1558. <li class="blockList">
    1559. 

  1559. <h4>createBackgroundSubtractorMOG2</h4>
    1560. 

  1560. <pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a>&nbsp;createBackgroundSubtractorMOG2()</pre>
    1561. 

  1561. <div class="block">Creates MOG2 Background Subtractor
    1562. 

  1562. 

  1563.  to decide whether a pixel is well described by the background model. This parameter does not
    1564. 

  1564.  affect the background update.
    1565. 

  1565.  speed a bit, so if you do not need this feature, set the parameter to false.</div>
    1566. 

  1566. <dl>
    1567. 

  1567. <dt><span class="returnLabel">Returns:</span></dt>
    1568. 

  1568. <dd>automatically generated</dd>
    1569. 

  1569. </dl>
    1570. 

  1570. </li>
    1571. 

  1571. </ul>
    1572. 

  1572. <a name="createBackgroundSubtractorMOG2-int-">
    1573. 

  1573. <!--   -->
    1574. 

  1574. </a>
    1575. 

  1575. <ul class="blockList">
    1576. 

  1576. <li class="blockList">
    1577. 

  1577. <h4>createBackgroundSubtractorMOG2</h4>
    1578. 

  1578. <pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a>&nbsp;createBackgroundSubtractorMOG2(int&nbsp;history)</pre>
    1579. 

  1579. <div class="block">Creates MOG2 Background Subtractor</div>
    1580. 

  1580. <dl>
    1581. 

  1581. <dt><span class="paramLabel">Parameters:</span></dt>
    1582. 

  1582. <dd><code>history</code> - Length of the history.
    1583. 

  1583.  to decide whether a pixel is well described by the background model. This parameter does not
    1584. 

  1584.  affect the background update.
    1585. 

  1585.  speed a bit, so if you do not need this feature, set the parameter to false.</dd>
    1586. 

  1586. <dt><span class="returnLabel">Returns:</span></dt>
    1587. 

  1587. <dd>automatically generated</dd>
    1588. 

  1588. </dl>
    1589. 

  1589. </li>
    1590. 

  1590. </ul>
    1591. 

  1591. <a name="createBackgroundSubtractorMOG2-int-double-">
    1592. 

  1592. <!--   -->
    1593. 

  1593. </a>
    1594. 

  1594. <ul class="blockList">
    1595. 

  1595. <li class="blockList">
    1596. 

  1596. <h4>createBackgroundSubtractorMOG2</h4>
    1597. 

  1597. <pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a>&nbsp;createBackgroundSubtractorMOG2(int&nbsp;history,
    1598. 

  1598.                                                                       double&nbsp;varThreshold)</pre>
    1599. 

  1599. <div class="block">Creates MOG2 Background Subtractor</div>
    1600. 

  1600. <dl>
    1601. 

  1601. <dt><span class="paramLabel">Parameters:</span></dt>
    1602. 

  1602. <dd><code>history</code> - Length of the history.</dd>
    1603. 

  1603. <dd><code>varThreshold</code> - Threshold on the squared Mahalanobis distance between the pixel and the model
    1604. 

  1604.  to decide whether a pixel is well described by the background model. This parameter does not
    1605. 

  1605.  affect the background update.
    1606. 

  1606.  speed a bit, so if you do not need this feature, set the parameter to false.</dd>
    1607. 

  1607. <dt><span class="returnLabel">Returns:</span></dt>
    1608. 

  1608. <dd>automatically generated</dd>
    1609. 

  1609. </dl>
    1610. 

  1610. </li>
    1611. 

  1611. </ul>
    1612. 

  1612. <a name="createBackgroundSubtractorMOG2-int-double-boolean-">
    1613. 

  1613. <!--   -->
    1614. 

  1614. </a>
    1615. 

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    1616. 

  1616. <li class="blockList">
    1617. 

  1617. <h4>createBackgroundSubtractorMOG2</h4>
    1618. 

  1618. <pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorMOG2.html" title="class in org.opencv.video">BackgroundSubtractorMOG2</a>&nbsp;createBackgroundSubtractorMOG2(int&nbsp;history,
    1619. 

  1619.                                                                       double&nbsp;varThreshold,
    1620. 

  1620.                                                                       boolean&nbsp;detectShadows)</pre>
    1621. 

  1621. <div class="block">Creates MOG2 Background Subtractor</div>
    1622. 

  1622. <dl>
    1623. 

  1623. <dt><span class="paramLabel">Parameters:</span></dt>
    1624. 

  1624. <dd><code>history</code> - Length of the history.</dd>
    1625. 

  1625. <dd><code>varThreshold</code> - Threshold on the squared Mahalanobis distance between the pixel and the model
    1626. 

  1626.  to decide whether a pixel is well described by the background model. This parameter does not
    1627. 

  1627.  affect the background update.</dd>
    1628. 

  1628. <dd><code>detectShadows</code> - If true, the algorithm will detect shadows and mark them. It decreases the
    1629. 

  1629.  speed a bit, so if you do not need this feature, set the parameter to false.</dd>
    1630. 

  1630. <dt><span class="returnLabel">Returns:</span></dt>
    1631. 

  1631. <dd>automatically generated</dd>
    1632. 

  1632. </dl>
    1633. 

  1633. </li>
    1634. 

  1634. </ul>
    1635. 

  1635. <a name="findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
    1636. 

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    1637. 

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    1638. 

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    1639. 

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    1640. 

  1640. <h4>findTransformECC</h4>
    1641. 

  1641. <pre>public static&nbsp;double&nbsp;findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    1642. 

  1642.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    1643. 

  1643.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix)</pre>
    1644. 

  1644. </li>
    1645. 

  1645. </ul>
    1646. 

  1646. <a name="findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-">
    1647. 

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    1648. 

  1648. </a>
    1649. 

  1649. <ul class="blockList">
    1650. 

  1650. <li class="blockList">
    1651. 

  1651. <h4>findTransformECC</h4>
    1652. 

  1652. <pre>public static&nbsp;double&nbsp;findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    1653. 

  1653.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    1654. 

  1654.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix,
    1655. 

  1655.                                       int&nbsp;motionType)</pre>
    1656. 

  1656. </li>
    1657. 

  1657. </ul>
    1658. 

  1658. <a name="findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-">
    1659. 

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    1660. 

  1660. </a>
    1661. 

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    1662. 

  1662. <li class="blockList">
    1663. 

  1663. <h4>findTransformECC</h4>
    1664. 

  1664. <pre>public static&nbsp;double&nbsp;findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    1665. 

  1665.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    1666. 

  1666.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix,
    1667. 

  1667.                                       int&nbsp;motionType,
    1668. 

  1668.                                       <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria)</pre>
    1669. 

  1669. </li>
    1670. 

  1670. </ul>
    1671. 

  1671. <a name="findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-org.opencv.core.Mat-">
    1672. 

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    1673. 

  1673. </a>
    1674. 

  1674. <ul class="blockList">
    1675. 

  1675. <li class="blockList">
    1676. 

  1676. <h4>findTransformECC</h4>
    1677. 

  1677. <pre>public static&nbsp;double&nbsp;findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    1678. 

  1678.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    1679. 

  1679.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix,
    1680. 

  1680.                                       int&nbsp;motionType,
    1681. 

  1681.                                       <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria,
    1682. 

  1682.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputMask)</pre>
    1683. 

  1683. </li>
    1684. 

  1684. </ul>
    1685. 

  1685. <a name="findTransformECC-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-int-org.opencv.core.TermCriteria-org.opencv.core.Mat-int-">
    1686. 

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    1687. 

  1687. </a>
    1688. 

  1688. <ul class="blockList">
    1689. 

  1689. <li class="blockList">
    1690. 

  1690. <h4>findTransformECC</h4>
    1691. 

  1691. <pre>public static&nbsp;double&nbsp;findTransformECC(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;templateImage,
    1692. 

  1692.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputImage,
    1693. 

  1693.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;warpMatrix,
    1694. 

  1694.                                       int&nbsp;motionType,
    1695. 

  1695.                                       <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria,
    1696. 

  1696.                                       <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;inputMask,
    1697. 

  1697.                                       int&nbsp;gaussFiltSize)</pre>
    1698. 

  1698. <div class="block">Finds the geometric transform (warp) between two images in terms of the ECC criterion CITE: EP08 .</div>
    1699. 

  1699. <dl>
    1700. 

  1700. <dt><span class="paramLabel">Parameters:</span></dt>
    1701. 

  1701. <dd><code>templateImage</code> - single-channel template image; CV_8U or CV_32F array.</dd>
    1702. 

  1702. <dd><code>inputImage</code> - single-channel input image which should be warped with the final warpMatrix in
    1703. 

  1703.  order to provide an image similar to templateImage, same type as templateImage.</dd>
    1704. 

  1704. <dd><code>warpMatrix</code> - floating-point \(2\times 3\) or \(3\times 3\) mapping matrix (warp).</dd>
    1705. 

  1705. <dd><code>motionType</code> - parameter, specifying the type of motion:
    1706. 

  1706.  <ul>
    1707. 

  1707.    <li>
    1708. 

  1708.      <b>MOTION_TRANSLATION</b> sets a translational motion model; warpMatrix is \(2\times 3\) with
    1709. 

  1709.       the first \(2\times 2\) part being the unity matrix and the rest two parameters being
    1710. 

  1710.       estimated.
    1711. 

  1711.    </li>
    1712. 

  1712.    <li>
    1713. 

  1713.      <b>MOTION_EUCLIDEAN</b> sets a Euclidean (rigid) transformation as motion model; three
    1714. 

  1714.       parameters are estimated; warpMatrix is \(2\times 3\).
    1715. 

  1715.    </li>
    1716. 

  1716.    <li>
    1717. 

  1717.      <b>MOTION_AFFINE</b> sets an affine motion model (DEFAULT); six parameters are estimated;
    1718. 

  1718.       warpMatrix is \(2\times 3\).
    1719. 

  1719.    </li>
    1720. 

  1720.    <li>
    1721. 

  1721.      <b>MOTION_HOMOGRAPHY</b> sets a homography as a motion model; eight parameters are
    1722. 

  1722.       estimated;\<code>warpMatrix\</code> is \(3\times 3\).
    1723. 

  1723.    </li>
    1724. 

  1724.  </ul></dd>
    1725. 

  1725. <dd><code>criteria</code> - parameter, specifying the termination criteria of the ECC algorithm;
    1726. 

  1726.  criteria.epsilon defines the threshold of the increment in the correlation coefficient between two
    1727. 

  1727.  iterations (a negative criteria.epsilon makes criteria.maxcount the only termination criterion).
    1728. 

  1728.  Default values are shown in the declaration above.</dd>
    1729. 

  1729. <dd><code>inputMask</code> - An optional mask to indicate valid values of inputImage.</dd>
    1730. 

  1730. <dd><code>gaussFiltSize</code> - An optional value indicating size of gaussian blur filter; (DEFAULT: 5)
    1731. 

  1731. 

  1732.  The function estimates the optimum transformation (warpMatrix) with respect to ECC criterion
    1733. 

  1733.  (CITE: EP08), that is
    1734. 

  1734. 

  1735.  \(\texttt{warpMatrix} = \arg\max_{W} \texttt{ECC}(\texttt{templateImage}(x,y),\texttt{inputImage}(x',y'))\)
    1736. 

  1736. 

  1737.  where
    1738. 

  1738. 

  1739.  \(\begin{bmatrix} x' \\ y' \end{bmatrix} = W \cdot \begin{bmatrix} x \\ y \\ 1 \end{bmatrix}\)
    1740. 

  1740. 

  1741.  (the equation holds with homogeneous coordinates for homography). It returns the final enhanced
    1742. 

  1742.  correlation coefficient, that is the correlation coefficient between the template image and the
    1743. 

  1743.  final warped input image. When a \(3\times 3\) matrix is given with motionType =0, 1 or 2, the third
    1744. 

  1744.  row is ignored.
    1745. 

  1745. 

  1746.  Unlike findHomography and estimateRigidTransform, the function findTransformECC implements an
    1747. 

  1747.  area-based alignment that builds on intensity similarities. In essence, the function updates the
    1748. 

  1748.  initial transformation that roughly aligns the images. If this information is missing, the identity
    1749. 

  1749.  warp (unity matrix) is used as an initialization. Note that if images undergo strong
    1750. 

  1750.  displacements/rotations, an initial transformation that roughly aligns the images is necessary
    1751. 

  1751.  (e.g., a simple euclidean/similarity transform that allows for the images showing the same image
    1752. 

  1752.  content approximately). Use inverse warping in the second image to take an image close to the first
    1753. 

  1753.  one, i.e. use the flag WARP_INVERSE_MAP with warpAffine or warpPerspective. See also the OpenCV
    1754. 

  1754.  sample image_alignment.cpp that demonstrates the use of the function. Note that the function throws
    1755. 

  1755.  an exception if algorithm does not converges.
    1756. 

  1756. 

  1757.  SEE:
    1758. 

  1758.  computeECC, estimateAffine2D, estimateAffinePartial2D, findHomography</dd>
    1759. 

  1759. <dt><span class="returnLabel">Returns:</span></dt>
    1760. 

  1760. <dd>automatically generated</dd>
    1761. 

  1761. </dl>
    1762. 

  1762. </li>
    1763. 

  1763. </ul>
    1764. 

  1764. <a name="meanShift-org.opencv.core.Mat-org.opencv.core.Rect-org.opencv.core.TermCriteria-">
    1765. 

  1765. <!--   -->
    1766. 

  1766. </a>
    1767. 

  1767. <ul class="blockList">
    1768. 

  1768. <li class="blockList">
    1769. 

  1769. <h4>meanShift</h4>
    1770. 

  1770. <pre>public static&nbsp;int&nbsp;meanShift(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;probImage,
    1771. 

  1771.                             <a href="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</a>&nbsp;window,
    1772. 

  1772.                             <a href="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</a>&nbsp;criteria)</pre>
    1773. 

  1773. <div class="block">Finds an object on a back projection image.</div>
    1774. 

  1774. <dl>
    1775. 

  1775. <dt><span class="paramLabel">Parameters:</span></dt>
    1776. 

  1776. <dd><code>probImage</code> - Back projection of the object histogram. See calcBackProject for details.</dd>
    1777. 

  1777. <dd><code>window</code> - Initial search window.</dd>
    1778. 

  1778. <dd><code>criteria</code> - Stop criteria for the iterative search algorithm.
    1779. 

  1779.  returns
    1780. 

  1780.  :   Number of iterations CAMSHIFT took to converge.
    1781. 

  1781.  The function implements the iterative object search algorithm. It takes the input back projection of
    1782. 

  1782.  an object and the initial position. The mass center in window of the back projection image is
    1783. 

  1783.  computed and the search window center shifts to the mass center. The procedure is repeated until the
    1784. 

  1784.  specified number of iterations criteria.maxCount is done or until the window center shifts by less
    1785. 

  1785.  than criteria.epsilon. The algorithm is used inside CamShift and, unlike CamShift , the search
    1786. 

  1786.  window size or orientation do not change during the search. You can simply pass the output of
    1787. 

  1787.  calcBackProject to this function. But better results can be obtained if you pre-filter the back
    1788. 

  1788.  projection and remove the noise. For example, you can do this by retrieving connected components
    1789. 

  1789.  with findContours , throwing away contours with small area ( contourArea ), and rendering the
    1790. 

  1790.  remaining contours with drawContours.</dd>
    1791. 

  1791. <dt><span class="returnLabel">Returns:</span></dt>
    1792. 

  1792. <dd>automatically generated</dd>
    1793. 

  1793. </dl>
    1794. 

  1794. </li>
    1795. 

  1795. </ul>
    1796. 

  1796. <a name="readOpticalFlow-java.lang.String-">
    1797. 

  1797. <!--   -->
    1798. 

  1798. </a>
    1799. 

  1799. <ul class="blockList">
    1800. 

  1800. <li class="blockList">
    1801. 

  1801. <h4>readOpticalFlow</h4>
    1802. 

  1802. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;readOpticalFlow(java.lang.String&nbsp;path)</pre>
    1803. 

  1803. <div class="block">Read a .flo file</div>
    1804. 

  1804. <dl>
    1805. 

  1805. <dt><span class="paramLabel">Parameters:</span></dt>
    1806. 

  1806. <dd><code>path</code> - Path to the file to be loaded
    1807. 

  1807. 

  1808.   The function readOpticalFlow loads a flow field from a file and returns it as a single matrix.
    1809. 

  1809.   Resulting Mat has a type CV_32FC2 - floating-point, 2-channel. First channel corresponds to the
    1810. 

  1810.   flow in the horizontal direction (u), second - vertical (v).</dd>
    1811. 

  1811. <dt><span class="returnLabel">Returns:</span></dt>
    1812. 

  1812. <dd>automatically generated</dd>
    1813. 

  1813. </dl>
    1814. 

  1814. </li>
    1815. 

  1815. </ul>
    1816. 

  1816. <a name="writeOpticalFlow-java.lang.String-org.opencv.core.Mat-">
    1817. 

  1817. <!--   -->
    1818. 

  1818. </a>
    1819. 

  1819. <ul class="blockListLast">
    1820. 

  1820. <li class="blockList">
    1821. 

  1821. <h4>writeOpticalFlow</h4>
    1822. 

  1822. <pre>public static&nbsp;boolean&nbsp;writeOpticalFlow(java.lang.String&nbsp;path,
    1823. 

  1823.                                        <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;flow)</pre>
    1824. 

  1824. <div class="block">Write a .flo to disk</div>
    1825. 

  1825. <dl>
    1826. 

  1826. <dt><span class="paramLabel">Parameters:</span></dt>
    1827. 

  1827. <dd><code>path</code> - Path to the file to be written</dd>
    1828. 

  1828. <dd><code>flow</code> - Flow field to be stored
    1829. 

  1829. 

  1830.   The function stores a flow field in a file, returns true on success, false otherwise.
    1831. 

  1831.   The flow field must be a 2-channel, floating-point matrix (CV_32FC2). First channel corresponds
    1832. 

  1832.   to the flow in the horizontal direction (u), second - vertical (v).</dd>
    1833. 

  1833. <dt><span class="returnLabel">Returns:</span></dt>
    1834. 

  1834. <dd>automatically generated</dd>
    1835. 

  1835. </dl>
    1836. 

  1836. </li>
    1837. 

  1837. </ul>
    1838. 

  1838. </li>
    1839. 

  1839. </ul>
    1840. 

  1840. </li>
    1841. 

  1841. </ul>
    1842. 

  1842. </div>
    1843. 

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    1844. 

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