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// // This file is auto-generated. Please don't modify it! ////w w w .java 2 s. c o m package org.opencv.video; // C++: class BackgroundSubtractorMOG2 /** * <p>Gaussian Mixture-based Background/Foreground Segmentation Algorithm.</p> * * <p>Here are important members of the class that control the algorithm, which you * can set after constructing the class instance:</p> * * <p>Maximum allowed number of mixture components. Actual number is determined * dynamically per pixel.</p> * * <p>Threshold defining whether the component is significant enough to be included * into the background model (corresponds to <code>TB=1-cf</code> from the * paper??which paper??). <code>cf=0.1 => TB=0.9</code> is default. For * <code>alpha=0.001</code>, it means that the mode should exist for * approximately 105 frames before it is considered foreground. * <code></p> * * <p>// C++ code:</p> * * <p>Threshold for the squared Mahalanobis distance that helps decide when a * sample is close to the existing components (corresponds to <code>Tg</code>). * If it is not close to any component, a new component is generated. <code>3 * sigma => Tg=3*3=9</code> is default. A smaller <code>Tg</code> value * generates more components. A higher <code>Tg</code> value may result in a * small number of components but they can grow too large.</p> * * <p>Initial variance for the newly generated components. It affects the speed of * adaptation. The parameter value is based on your estimate of the typical * standard deviation from the images. OpenCV uses 15 as a reasonable value.</p> * * <p>Parameter used to further control the variance.</p> * * <p>Parameter used to further control the variance.</p> * * <p>Complexity reduction parameter. This parameter defines the number of samples * needed to accept to prove the component exists. <code>CT=0.05</code> is a * default value for all the samples. By setting <code>CT=0</code> you get an * algorithm very similar to the standard Stauffer&Grimson algorithm.</p> * * <p>The value for marking shadow pixels in the output foreground mask. Default * value is 127.</p> * * <p>Shadow threshold. The shadow is detected if the pixel is a darker version of * the background. <code>Tau</code> is a threshold defining how much darker the * shadow can be. <code>Tau= 0.5</code> means that if a pixel is more than twice * darker then it is not shadow. See Prati,Mikic,Trivedi,Cucchiarra, *Detecting * Moving Shadows...*, IEEE PAMI,2003.</p> * * <p>The class implements the Gaussian mixture model background subtraction * described in: </code></p> * <ul> * <li> Z.Zivkovic, *Improved adaptive Gausian mixture model for background * subtraction*, International Conference Pattern Recognition, UK, August, 2004, * http://www.zoranz.net/Publications/zivkovic2004ICPR.pdf. The code is very * fast and performs also shadow detection. Number of Gausssian components is * adapted per pixel. * <li> Z.Zivkovic, F. van der Heijden, *Efficient Adaptive Density Estimapion * per Image Pixel for the Task of Background Subtraction*, Pattern Recognition * Letters, vol. 27, no. 7, pages 773-780, 2006. The algorithm similar to the * standard Stauffer&Grimson algorithm with additional selection of the number * of the Gaussian components based on: Z.Zivkovic, F.van der Heijden, Recursive * unsupervised learning of finite mixture models, IEEE Trans. on Pattern * Analysis and Machine Intelligence, vol.26, no.5, pages 651-656, 2004. * </ul> * * @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2">org.opencv.video.BackgroundSubtractorMOG2 : public BackgroundSubtractor</a> */ public class BackgroundSubtractorMOG2 extends BackgroundSubtractor { protected BackgroundSubtractorMOG2(long addr) { super(addr); } // // C++: BackgroundSubtractorMOG2::BackgroundSubtractorMOG2() // /** * <p>The constructors.</p> * * @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2-backgroundsubtractormog2">org.opencv.video.BackgroundSubtractorMOG2.BackgroundSubtractorMOG2</a> */ public BackgroundSubtractorMOG2() { super( BackgroundSubtractorMOG2_0() ); return; } // // C++: BackgroundSubtractorMOG2::BackgroundSubtractorMOG2(int history, float varThreshold, bool bShadowDetection = true) // /** * <p>The constructors.</p> * * @param history Length of the history. * @param varThreshold Threshold on the squared Mahalanobis distance to decide * whether it is well described by the background model (see Cthr??). This * parameter does not affect the background update. A typical value could be 4 * sigma, that is, <code>varThreshold=4*4=16;</code> (see Tb??). * @param bShadowDetection Parameter defining whether shadow detection should be * enabled (<code>true</code> or <code>false</code>). * * @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2-backgroundsubtractormog2">org.opencv.video.BackgroundSubtractorMOG2.BackgroundSubtractorMOG2</a> */ public BackgroundSubtractorMOG2(int history, float varThreshold, boolean bShadowDetection) { super( BackgroundSubtractorMOG2_1(history, varThreshold, bShadowDetection) ); return; } /** * <p>The constructors.</p> * * @param history Length of the history. * @param varThreshold Threshold on the squared Mahalanobis distance to decide * whether it is well described by the background model (see Cthr??). This * parameter does not affect the background update. A typical value could be 4 * sigma, that is, <code>varThreshold=4*4=16;</code> (see Tb??). * * @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2-backgroundsubtractormog2">org.opencv.video.BackgroundSubtractorMOG2.BackgroundSubtractorMOG2</a> */ public BackgroundSubtractorMOG2(int history, float varThreshold) { super( BackgroundSubtractorMOG2_2(history, varThreshold) ); return; } @Override protected void finalize() throws Throwable { delete(nativeObj); } // C++: BackgroundSubtractorMOG2::BackgroundSubtractorMOG2() private static native long BackgroundSubtractorMOG2_0(); // C++: BackgroundSubtractorMOG2::BackgroundSubtractorMOG2(int history, float varThreshold, bool bShadowDetection = true) private static native long BackgroundSubtractorMOG2_1(int history, float varThreshold, boolean bShadowDetection); private static native long BackgroundSubtractorMOG2_2(int history, float varThreshold); // native support for java finalize() private static native void delete(long nativeObj); }