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merged 2.4 into trunk

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This commit is contained in:
Vadim Pisarevsky
2012-04-30 14:33:52 +00:00
parent 3f1c6d7357
commit d5a0088bbe
194 changed files with 10158 additions and 8225 deletions
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34
modules/video/include/opencv2/video/background_segm.hpp
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@@ -54,7 +54,7 @@ namespace cv
The class is only used to define the common interface for
the whole family of background/foreground segmentation algorithms.
*/
class CV_EXPORTS_W BackgroundSubtractor
class CV_EXPORTS_W BackgroundSubtractor : public Algorithm
{
public:
//! the virtual destructor
@@ -93,6 +93,9 @@ public:
//! re-initiaization method
virtual void initialize(Size frameSize, int frameType);
virtual AlgorithmInfo* info() const;
protected:
Size frameSize;
int frameType;
Mat bgmodel;
@@ -130,6 +133,9 @@ public:
//! re-initiaization method
virtual void initialize(Size frameSize, int frameType);
virtual AlgorithmInfo* info() const;
protected:
Size frameSize;
int frameType;
Mat bgmodel;
@@ -137,24 +143,24 @@ public:
int nframes;
int history;
int nmixtures;
//! here it is the maximum allowed number of mixture comonents.
//! here it is the maximum allowed number of mixture components.
//! Actual number is determined dynamically per pixel
float varThreshold;
// threshold on the squared Mahalan. dist. to decide if it is well described
//by the background model or not. Related to Cthr from the paper.
//This does not influence the update of the background. A typical value could be 4 sigma
//and that is varThreshold=4*4=16; Corresponds to Tb in the paper.
double varThreshold;
// threshold on the squared Mahalanobis distance to decide if it is well described
// by the background model or not. Related to Cthr from the paper.
// This does not influence the update of the background. A typical value could be 4 sigma
// and that is varThreshold=4*4=16; Corresponds to Tb in the paper.
/////////////////////////
//less important parameters - things you might change but be carefull
// less important parameters - things you might change but be carefull
////////////////////////
float backgroundRatio;
//corresponds to fTB=1-cf from the paper
//TB - threshold when the component becomes significant enough to be included into
//the background model. It is the TB=1-cf from the paper. So I use cf=0.1 => TB=0.
//For alpha=0.001 it means that the mode should exist for approximately 105 frames before
//it is considered foreground
//float noiseSigma;
// corresponds to fTB=1-cf from the paper
// TB - threshold when the component becomes significant enough to be included into
// the background model. It is the TB=1-cf from the paper. So I use cf=0.1 => TB=0.
// For alpha=0.001 it means that the mode should exist for approximately 105 frames before
// it is considered foreground
// float noiseSigma;
float varThresholdGen;
//correspondts to Tg - threshold on the squared Mahalan. dist. to decide
//when a sample is close to the existing components. If it is not close