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New KNN code -should compile now

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unknown
2014-01-30 10:47:12 +01:00
parent afa62c4161
commit 14b1e8c7f1
4 changed files with 829 additions and 5 deletions
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41
modules/video/include/opencv2/video/background_segm.hpp
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@@ -113,7 +113,7 @@ public:
CV_WRAP virtual void setHistory(int history) = 0;
CV_WRAP virtual int getNMixtures() const = 0;
CV_WRAP virtual void setNMixtures(int nmixtures) = 0;
CV_WRAP virtual void setNMixtures(int nmixtures) = 0;//needs reinitialization!
CV_WRAP virtual double getBackgroundRatio() const = 0;
CV_WRAP virtual void setBackgroundRatio(double ratio) = 0;
@@ -150,6 +150,45 @@ CV_EXPORTS_W Ptr<BackgroundSubtractorMOG2>
createBackgroundSubtractorMOG2(int history=500, double varThreshold=16,
bool detectShadows=true);
/*!
The class implements the K nearest neigbours algorithm from:
"Efficient Adaptive Density Estimation per Image Pixel for the Task of Background Subtraction"
Z.Zivkovic, F. van der Heijden
Pattern Recognition Letters, vol. 27, no. 7, pages 773-780, 2006
http://www.zoranz.net/Publications/zivkovicPRL2006.pdf
Fast for small foreground object. Results on the benchmark data is at http://www.changedetection.net.
*/
class CV_EXPORTS_W BackgroundSubtractorKNN : public BackgroundSubtractor
{
public:
CV_WRAP virtual int getHistory() const = 0;
CV_WRAP virtual void setHistory(int history) = 0;
CV_WRAP virtual int getNSamples() const = 0;
CV_WRAP virtual void setNSamples(int _nN) = 0;//needs reinitialization!
CV_WRAP virtual double getDist2Threshold() const = 0;
CV_WRAP virtual void setDist2Threshold(double _dist2Threshold) = 0;
CV_WRAP virtual int getkNNSamples() const = 0;
CV_WRAP virtual void setkNNSamples(int _nkNN) = 0;
CV_WRAP virtual bool getDetectShadows() const = 0;
CV_WRAP virtual void setDetectShadows(bool detectShadows) = 0;
CV_WRAP virtual int getShadowValue() const = 0;
CV_WRAP virtual void setShadowValue(int value) = 0;
CV_WRAP virtual double getShadowThreshold() const = 0;
CV_WRAP virtual void setShadowThreshold(double threshold) = 0;
};
CV_EXPORTS_W Ptr<BackgroundSubtractorKNN>
createBackgroundSubtractorKNN(int history=500, double dist2Threshold=400.0,
bool detectShadows=true);
/**
* Background Subtractor module. Takes a series of images and returns a sequence of mask (8UC1)
* images of the same size, where 255 indicates Foreground and 0 represents Background.