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<div class="subTitle">org.opencv.video</div>
<h2 title="Class BackgroundSubtractorKNN" class="title">Class BackgroundSubtractorKNN</h2>
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<ul class="inheritance">
<li>java.lang.Object</li>
<li>
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<li><a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">org.opencv.core.Algorithm</a></li>
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<li><a href="../../../org/opencv/video/BackgroundSubtractor.html" title="class in org.opencv.video">org.opencv.video.BackgroundSubtractor</a></li>
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<li>org.opencv.video.BackgroundSubtractorKNN</li>
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<pre>public class <span class="typeNameLabel">BackgroundSubtractorKNN</span>
extends <a href="../../../org/opencv/video/BackgroundSubtractor.html" title="class in org.opencv.video">BackgroundSubtractor</a></pre>
<div class="block">K-nearest neighbours - based Background/Foreground Segmentation Algorithm.

 The class implements the K-nearest neighbours background subtraction described in CITE: Zivkovic2006 .
 Very efficient if number of foreground pixels is low.</div>
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<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="t2" class="tableTab"><span><a href="javascript:show(2);">Instance 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>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tr id="i0" class="altColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#getDetectShadows--">getDetectShadows</a></span>()</code>
<div class="block">Returns the shadow detection flag

     If true, the algorithm detects shadows and marks them.</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#getDist2Threshold--">getDist2Threshold</a></span>()</code>
<div class="block">Returns the threshold on the squared distance between the pixel and the sample

     The threshold on the squared distance between the pixel and the sample to decide whether a pixel is
     close to a data sample.</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#getHistory--">getHistory</a></span>()</code>
<div class="block">Returns the number of last frames that affect the background model</div>
</td>
</tr>
<tr id="i4" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#getkNNSamples--">getkNNSamples</a></span>()</code>
<div class="block">Returns the number of neighbours, the k in the kNN.</div>
</td>
</tr>
<tr id="i5" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#getNSamples--">getNSamples</a></span>()</code>
<div class="block">Returns the number of data samples in the background model</div>
</td>
</tr>
<tr id="i6" class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#getShadowThreshold--">getShadowThreshold</a></span>()</code>
<div class="block">Returns the shadow threshold

     A shadow is detected if pixel is a darker version of the background.</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#getShadowValue--">getShadowValue</a></span>()</code>
<div class="block">Returns the shadow value

     Shadow value is the value used to mark shadows in the foreground mask.</div>
</td>
</tr>
<tr id="i8" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#setDetectShadows-boolean-">setDetectShadows</a></span>(boolean&nbsp;detectShadows)</code>
<div class="block">Enables or disables shadow detection</div>
</td>
</tr>
<tr id="i9" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#setDist2Threshold-double-">setDist2Threshold</a></span>(double&nbsp;_dist2Threshold)</code>
<div class="block">Sets the threshold on the squared distance</div>
</td>
</tr>
<tr id="i10" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#setHistory-int-">setHistory</a></span>(int&nbsp;history)</code>
<div class="block">Sets the number of last frames that affect the background model</div>
</td>
</tr>
<tr id="i11" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#setkNNSamples-int-">setkNNSamples</a></span>(int&nbsp;_nkNN)</code>
<div class="block">Sets the k in the kNN.</div>
</td>
</tr>
<tr id="i12" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#setNSamples-int-">setNSamples</a></span>(int&nbsp;_nN)</code>
<div class="block">Sets the number of data samples in the background model.</div>
</td>
</tr>
<tr id="i13" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#setShadowThreshold-double-">setShadowThreshold</a></span>(double&nbsp;threshold)</code>
<div class="block">Sets the shadow threshold</div>
</td>
</tr>
<tr id="i14" class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/video/BackgroundSubtractorKNN.html#setShadowValue-int-">setShadowValue</a></span>(int&nbsp;value)</code>
<div class="block">Sets the shadow value</div>
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<h3>Methods inherited from class&nbsp;org.opencv.video.<a href="../../../org/opencv/video/BackgroundSubtractor.html" title="class in org.opencv.video">BackgroundSubtractor</a></h3>
<code><a href="../../../org/opencv/video/BackgroundSubtractor.html#apply-org.opencv.core.Mat-org.opencv.core.Mat-">apply</a>, <a href="../../../org/opencv/video/BackgroundSubtractor.html#apply-org.opencv.core.Mat-org.opencv.core.Mat-double-">apply</a>, <a href="../../../org/opencv/video/BackgroundSubtractor.html#getBackgroundImage-org.opencv.core.Mat-">getBackgroundImage</a></code></li>
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<code><a href="../../../org/opencv/core/Algorithm.html#clear--">clear</a>, <a href="../../../org/opencv/core/Algorithm.html#empty--">empty</a>, <a href="../../../org/opencv/core/Algorithm.html#getDefaultName--">getDefaultName</a>, <a href="../../../org/opencv/core/Algorithm.html#getNativeObjAddr--">getNativeObjAddr</a>, <a href="../../../org/opencv/core/Algorithm.html#save-java.lang.String-">save</a></code></li>
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<h4>__fromPtr__</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/video/BackgroundSubtractorKNN.html" title="class in org.opencv.video">BackgroundSubtractorKNN</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
</li>
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<h4>getDetectShadows</h4>
<pre>public&nbsp;boolean&nbsp;getDetectShadows()</pre>
<div class="block">Returns the shadow detection flag

     If true, the algorithm detects shadows and marks them. See createBackgroundSubtractorKNN for
     details.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
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<h4>getDist2Threshold</h4>
<pre>public&nbsp;double&nbsp;getDist2Threshold()</pre>
<div class="block">Returns the threshold on the squared distance between the pixel and the sample

     The threshold on the squared distance between the pixel and the sample to decide whether a pixel is
     close to a data sample.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<h4>getHistory</h4>
<pre>public&nbsp;int&nbsp;getHistory()</pre>
<div class="block">Returns the number of last frames that affect the background model</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="getkNNSamples--">
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<h4>getkNNSamples</h4>
<pre>public&nbsp;int&nbsp;getkNNSamples()</pre>
<div class="block">Returns the number of neighbours, the k in the kNN.

     K is the number of samples that need to be within dist2Threshold in order to decide that that
     pixel is matching the kNN background model.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<h4>getNSamples</h4>
<pre>public&nbsp;int&nbsp;getNSamples()</pre>
<div class="block">Returns the number of data samples in the background model</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<h4>getShadowThreshold</h4>
<pre>public&nbsp;double&nbsp;getShadowThreshold()</pre>
<div class="block">Returns the shadow threshold

     A shadow is detected if pixel is a darker version of the background. The shadow threshold (Tau in
     the paper) is a threshold defining how much darker the shadow can be. Tau= 0.5 means that if a pixel
     is more than twice darker then it is not shadow. See Prati, Mikic, Trivedi and Cucchiara,
 Detecting Moving Shadows...*, IEEE PAMI,2003.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
</ul>
<a name="getShadowValue--">
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<h4>getShadowValue</h4>
<pre>public&nbsp;int&nbsp;getShadowValue()</pre>
<div class="block">Returns the shadow value

     Shadow value is the value used to mark shadows in the foreground mask. Default value is 127. Value 0
     in the mask always means background, 255 means foreground.</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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<h4>setDetectShadows</h4>
<pre>public&nbsp;void&nbsp;setDetectShadows(boolean&nbsp;detectShadows)</pre>
<div class="block">Enables or disables shadow detection</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>detectShadows</code> - automatically generated</dd>
</dl>
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<h4>setDist2Threshold</h4>
<pre>public&nbsp;void&nbsp;setDist2Threshold(double&nbsp;_dist2Threshold)</pre>
<div class="block">Sets the threshold on the squared distance</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>_dist2Threshold</code> - automatically generated</dd>
</dl>
</li>
</ul>
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<h4>setHistory</h4>
<pre>public&nbsp;void&nbsp;setHistory(int&nbsp;history)</pre>
<div class="block">Sets the number of last frames that affect the background model</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>history</code> - automatically generated</dd>
</dl>
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<h4>setkNNSamples</h4>
<pre>public&nbsp;void&nbsp;setkNNSamples(int&nbsp;_nkNN)</pre>
<div class="block">Sets the k in the kNN. How many nearest neighbours need to match.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>_nkNN</code> - automatically generated</dd>
</dl>
</li>
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<h4>setNSamples</h4>
<pre>public&nbsp;void&nbsp;setNSamples(int&nbsp;_nN)</pre>
<div class="block">Sets the number of data samples in the background model.

     The model needs to be reinitalized to reserve memory.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>_nN</code> - automatically generated</dd>
</dl>
</li>
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<h4>setShadowThreshold</h4>
<pre>public&nbsp;void&nbsp;setShadowThreshold(double&nbsp;threshold)</pre>
<div class="block">Sets the shadow threshold</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>threshold</code> - automatically generated</dd>
</dl>
</li>
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<h4>setShadowValue</h4>
<pre>public&nbsp;void&nbsp;setShadowValue(int&nbsp;value)</pre>
<div class="block">Sets the shadow value</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>value</code> - automatically generated</dd>
</dl>
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<p class="legalCopy"><small>Generated on 2023-06-28 12:47:21 / OpenCV 4.8.0</small></p>
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