Static Public Member Functions
static BackgroundSubtractorCNT	createBackgroundSubtractorCNT ()
	Creates a CNT Background Subtractor.

static BackgroundSubtractorCNT	createBackgroundSubtractorCNT (int minPixelStability)
	Creates a CNT Background Subtractor.

static BackgroundSubtractorCNT	createBackgroundSubtractorCNT (int minPixelStability, bool useHistory)
	Creates a CNT Background Subtractor.

static BackgroundSubtractorCNT	createBackgroundSubtractorCNT (int minPixelStability, bool useHistory, int maxPixelStability)
	Creates a CNT Background Subtractor.

static BackgroundSubtractorCNT	createBackgroundSubtractorCNT (int minPixelStability, bool useHistory, int maxPixelStability, bool isParallel)
	Creates a CNT Background Subtractor.

static BackgroundSubtractorGMG	createBackgroundSubtractorGMG ()
	Creates a GMG Background Subtractor.

static BackgroundSubtractorGMG	createBackgroundSubtractorGMG (int initializationFrames)
	Creates a GMG Background Subtractor.

static BackgroundSubtractorGMG	createBackgroundSubtractorGMG (int initializationFrames, double decisionThreshold)
	Creates a GMG Background Subtractor.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC ()
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate, float propagationRate)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier, float noiseRemovalThresholdFacBG)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorGSOC	createBackgroundSubtractorGSOC (int mc, int nSamples, float replaceRate, float propagationRate, int hitsThreshold, float alpha, float beta, float blinkingSupressionDecay, float blinkingSupressionMultiplier, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG)
	Creates an instance of BackgroundSubtractorGSOC algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP ()
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG, int LSBPthreshold)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorLSBP	createBackgroundSubtractorLSBP (int mc, int nSamples, int LSBPRadius, float Tlower, float Tupper, float Tinc, float Tdec, float Rscale, float Rincdec, float noiseRemovalThresholdFacBG, float noiseRemovalThresholdFacFG, int LSBPthreshold, int minCount)
	Creates an instance of BackgroundSubtractorLSBP algorithm.

static BackgroundSubtractorMOG	createBackgroundSubtractorMOG ()
	Creates mixture-of-gaussian background subtractor.

static BackgroundSubtractorMOG	createBackgroundSubtractorMOG (int history)
	Creates mixture-of-gaussian background subtractor.

static BackgroundSubtractorMOG	createBackgroundSubtractorMOG (int history, int nmixtures)
	Creates mixture-of-gaussian background subtractor.

static BackgroundSubtractorMOG	createBackgroundSubtractorMOG (int history, int nmixtures, double backgroundRatio)
	Creates mixture-of-gaussian background subtractor.

static BackgroundSubtractorMOG	createBackgroundSubtractorMOG (int history, int nmixtures, double backgroundRatio, double noiseSigma)
	Creates mixture-of-gaussian background subtractor.

static SyntheticSequenceGenerator	createSyntheticSequenceGenerator (Mat background, Mat _object)
	Creates an instance of SyntheticSequenceGenerator.

static SyntheticSequenceGenerator	createSyntheticSequenceGenerator (Mat background, Mat _object, double amplitude)
	Creates an instance of SyntheticSequenceGenerator.

static SyntheticSequenceGenerator	createSyntheticSequenceGenerator (Mat background, Mat _object, double amplitude, double wavelength)
	Creates an instance of SyntheticSequenceGenerator.

static SyntheticSequenceGenerator	createSyntheticSequenceGenerator (Mat background, Mat _object, double amplitude, double wavelength, double wavespeed)
	Creates an instance of SyntheticSequenceGenerator.

static SyntheticSequenceGenerator	createSyntheticSequenceGenerator (Mat background, Mat _object, double amplitude, double wavelength, double wavespeed, double objspeed)
	Creates an instance of SyntheticSequenceGenerator.

Static Public Attributes
const int	LSBP_CAMERA_MOTION_COMPENSATION_LK = 0 + 1
	C++: enum LSBPCameraMotionCompensation (cv.bgsegm.LSBPCameraMotionCompensation)

const int	LSBP_CAMERA_MOTION_COMPENSATION_NONE = 0
	C++: enum LSBPCameraMotionCompensation (cv.bgsegm.LSBPCameraMotionCompensation)

Member Function Documentation

◆ createBackgroundSubtractorCNT() [1/5]

static BackgroundSubtractorCNT OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorCNT ( )

static

Creates a CNT Background Subtractor.

Parameters

minPixelStability	number of frames with same pixel color to consider stable
useHistory	determines if we're giving a pixel credit for being stable for a long time
maxPixelStability	maximum allowed credit for a pixel in history
isParallel	determines if we're parallelizing the algorithm

◆ createBackgroundSubtractorCNT() [2/5]

static BackgroundSubtractorCNT OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorCNT ( int minPixelStability )

static

Creates a CNT Background Subtractor.

Parameters

minPixelStability	number of frames with same pixel color to consider stable
useHistory	determines if we're giving a pixel credit for being stable for a long time
maxPixelStability	maximum allowed credit for a pixel in history
isParallel	determines if we're parallelizing the algorithm

◆ createBackgroundSubtractorCNT() [3/5]

static BackgroundSubtractorCNT OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorCNT	(	int	minPixelStability,
		bool	useHistory )

static

Creates a CNT Background Subtractor.

Parameters

minPixelStability	number of frames with same pixel color to consider stable
useHistory	determines if we're giving a pixel credit for being stable for a long time
maxPixelStability	maximum allowed credit for a pixel in history
isParallel	determines if we're parallelizing the algorithm

◆ createBackgroundSubtractorCNT() [4/5]

static BackgroundSubtractorCNT OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorCNT	(	int	minPixelStability,
		bool	useHistory,
		int	maxPixelStability )

static

Creates a CNT Background Subtractor.

Parameters

minPixelStability	number of frames with same pixel color to consider stable
useHistory	determines if we're giving a pixel credit for being stable for a long time
maxPixelStability	maximum allowed credit for a pixel in history
isParallel	determines if we're parallelizing the algorithm

◆ createBackgroundSubtractorCNT() [5/5]

static BackgroundSubtractorCNT OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorCNT	(	int	minPixelStability,
		bool	useHistory,
		int	maxPixelStability,
		bool	isParallel )

static

Creates a CNT Background Subtractor.

Parameters

minPixelStability	number of frames with same pixel color to consider stable
useHistory	determines if we're giving a pixel credit for being stable for a long time
maxPixelStability	maximum allowed credit for a pixel in history
isParallel	determines if we're parallelizing the algorithm

◆ createBackgroundSubtractorGMG() [1/3]

static BackgroundSubtractorGMG OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGMG ( )

static

Creates a GMG Background Subtractor.

Parameters

initializationFrames	number of frames used to initialize the background models.
decisionThreshold	Threshold value, above which it is marked foreground, else background.

◆ createBackgroundSubtractorGMG() [2/3]

static BackgroundSubtractorGMG OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGMG ( int initializationFrames )

static

Creates a GMG Background Subtractor.

Parameters

initializationFrames	number of frames used to initialize the background models.
decisionThreshold	Threshold value, above which it is marked foreground, else background.

◆ createBackgroundSubtractorGMG() [3/3]

static BackgroundSubtractorGMG OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGMG	(	int	initializationFrames,
		double	decisionThreshold )

static

Creates a GMG Background Subtractor.

Parameters

initializationFrames	number of frames used to initialize the background models.
decisionThreshold	Threshold value, above which it is marked foreground, else background.

◆ createBackgroundSubtractorGSOC() [1/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC ( )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [2/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC ( int mc )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [3/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [4/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [5/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate,
		float	propagationRate )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [6/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate,
		float	propagationRate,
		int	hitsThreshold )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [7/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate,
		float	propagationRate,
		int	hitsThreshold,
		float	alpha )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [8/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate,
		float	propagationRate,
		int	hitsThreshold,
		float	alpha,
		float	beta )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [9/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate,
		float	propagationRate,
		int	hitsThreshold,
		float	alpha,
		float	beta,
		float	blinkingSupressionDecay )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [10/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate,
		float	propagationRate,
		int	hitsThreshold,
		float	alpha,
		float	beta,
		float	blinkingSupressionDecay,
		float	blinkingSupressionMultiplier )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [11/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate,
		float	propagationRate,
		int	hitsThreshold,
		float	alpha,
		float	beta,
		float	blinkingSupressionDecay,
		float	blinkingSupressionMultiplier,
		float	noiseRemovalThresholdFacBG )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorGSOC() [12/12]

static BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorGSOC	(	int	mc,
		int	nSamples,
		float	replaceRate,
		float	propagationRate,
		int	hitsThreshold,
		float	alpha,
		float	beta,
		float	blinkingSupressionDecay,
		float	blinkingSupressionMultiplier,
		float	noiseRemovalThresholdFacBG,
		float	noiseRemovalThresholdFacFG )

static

Creates an instance of BackgroundSubtractorGSOC algorithm.

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
replaceRate	Probability of replacing the old sample - how fast the model will update itself.
propagationRate	Probability of propagating to neighbors.
hitsThreshold	How many positives the sample must get before it will be considered as a possible replacement.
alpha	Scale coefficient for threshold.
beta	Bias coefficient for threshold.
blinkingSupressionDecay	Blinking supression decay factor.
blinkingSupressionMultiplier	Blinking supression multiplier.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.

◆ createBackgroundSubtractorLSBP() [1/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP ( )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [2/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP ( int mc )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [3/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [4/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [5/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [6/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [7/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper,
		float	Tinc )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [8/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper,
		float	Tinc,
		float	Tdec )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [9/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper,
		float	Tinc,
		float	Tdec,
		float	Rscale )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [10/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper,
		float	Tinc,
		float	Tdec,
		float	Rscale,
		float	Rincdec )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [11/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper,
		float	Tinc,
		float	Tdec,
		float	Rscale,
		float	Rincdec,
		float	noiseRemovalThresholdFacBG )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [12/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper,
		float	Tinc,
		float	Tdec,
		float	Rscale,
		float	Rincdec,
		float	noiseRemovalThresholdFacBG,
		float	noiseRemovalThresholdFacFG )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [13/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper,
		float	Tinc,
		float	Tdec,
		float	Rscale,
		float	Rincdec,
		float	noiseRemovalThresholdFacBG,
		float	noiseRemovalThresholdFacFG,
		int	LSBPthreshold )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorLSBP() [14/14]

static BackgroundSubtractorLSBP OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorLSBP	(	int	mc,
		int	nSamples,
		int	LSBPRadius,
		float	Tlower,
		float	Tupper,
		float	Tinc,
		float	Tdec,
		float	Rscale,
		float	Rincdec,
		float	noiseRemovalThresholdFacBG,
		float	noiseRemovalThresholdFacFG,
		int	LSBPthreshold,
		int	minCount )

static

Creates an instance of BackgroundSubtractorLSBP algorithm.

Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016]

Parameters

mc	Whether to use camera motion compensation.
nSamples	Number of samples to maintain at each point of the frame.
LSBPRadius	LSBP descriptor radius.
Tlower	Lower bound for T-values. See [LGuo2016] for details.
Tupper	Upper bound for T-values. See [LGuo2016] for details.
Tinc	Increase step for T-values. See [LGuo2016] for details.
Tdec	Decrease step for T-values. See [LGuo2016] for details.
Rscale	Scale coefficient for threshold values.
Rincdec	Increase/Decrease step for threshold values.
noiseRemovalThresholdFacBG	Strength of the noise removal for background points.
noiseRemovalThresholdFacFG	Strength of the noise removal for foreground points.
LSBPthreshold	Threshold for LSBP binary string.
minCount	Minimal number of matches for sample to be considered as foreground.

◆ createBackgroundSubtractorMOG() [1/5]

static BackgroundSubtractorMOG OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorMOG ( )

static

Creates mixture-of-gaussian background subtractor.

Parameters

history	Length of the history.
nmixtures	Number of Gaussian mixtures.
backgroundRatio	Background ratio.
noiseSigma	Noise strength (standard deviation of the brightness or each color channel). 0 means some automatic value.

◆ createBackgroundSubtractorMOG() [2/5]

static BackgroundSubtractorMOG OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorMOG ( int history )

static

Creates mixture-of-gaussian background subtractor.

Parameters

history	Length of the history.
nmixtures	Number of Gaussian mixtures.
backgroundRatio	Background ratio.
noiseSigma	Noise strength (standard deviation of the brightness or each color channel). 0 means some automatic value.

◆ createBackgroundSubtractorMOG() [3/5]

static BackgroundSubtractorMOG OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorMOG	(	int	history,
		int	nmixtures )

static

Creates mixture-of-gaussian background subtractor.

Parameters

history	Length of the history.
nmixtures	Number of Gaussian mixtures.
backgroundRatio	Background ratio.
noiseSigma	Noise strength (standard deviation of the brightness or each color channel). 0 means some automatic value.

◆ createBackgroundSubtractorMOG() [4/5]

static BackgroundSubtractorMOG OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorMOG	(	int	history,
		int	nmixtures,
		double	backgroundRatio )

static

Creates mixture-of-gaussian background subtractor.

Parameters

history	Length of the history.
nmixtures	Number of Gaussian mixtures.
backgroundRatio	Background ratio.
noiseSigma	Noise strength (standard deviation of the brightness or each color channel). 0 means some automatic value.

◆ createBackgroundSubtractorMOG() [5/5]

static BackgroundSubtractorMOG OpenCVForUnity.BgsegmModule.Bgsegm.createBackgroundSubtractorMOG	(	int	history,
		int	nmixtures,
		double	backgroundRatio,
		double	noiseSigma )

static

Creates mixture-of-gaussian background subtractor.

Parameters

history	Length of the history.
nmixtures	Number of Gaussian mixtures.
backgroundRatio	Background ratio.
noiseSigma	Noise strength (standard deviation of the brightness or each color channel). 0 means some automatic value.

◆ createSyntheticSequenceGenerator() [1/5]

static SyntheticSequenceGenerator OpenCVForUnity.BgsegmModule.Bgsegm.createSyntheticSequenceGenerator	(	Mat	background,
		Mat	_object )

static

Creates an instance of SyntheticSequenceGenerator.

Parameters

background	Background image for object.
object	Object image which will move slowly over the background.
amplitude	Amplitude of wave distortion applied to background.
wavelength	Length of waves in distortion applied to background.
wavespeed	How fast waves will move.
objspeed	How fast object will fly over background.

◆ createSyntheticSequenceGenerator() [2/5]

static SyntheticSequenceGenerator OpenCVForUnity.BgsegmModule.Bgsegm.createSyntheticSequenceGenerator	(	Mat	background,
		Mat	_object,
		double	amplitude )

static

Creates an instance of SyntheticSequenceGenerator.

Parameters

background	Background image for object.
object	Object image which will move slowly over the background.
amplitude	Amplitude of wave distortion applied to background.
wavelength	Length of waves in distortion applied to background.
wavespeed	How fast waves will move.
objspeed	How fast object will fly over background.

◆ createSyntheticSequenceGenerator() [3/5]

static SyntheticSequenceGenerator OpenCVForUnity.BgsegmModule.Bgsegm.createSyntheticSequenceGenerator	(	Mat	background,
		Mat	_object,
		double	amplitude,
		double	wavelength )

static

Creates an instance of SyntheticSequenceGenerator.

Parameters

background	Background image for object.
object	Object image which will move slowly over the background.
amplitude	Amplitude of wave distortion applied to background.
wavelength	Length of waves in distortion applied to background.
wavespeed	How fast waves will move.
objspeed	How fast object will fly over background.

◆ createSyntheticSequenceGenerator() [4/5]

static SyntheticSequenceGenerator OpenCVForUnity.BgsegmModule.Bgsegm.createSyntheticSequenceGenerator	(	Mat	background,
		Mat	_object,
		double	amplitude,
		double	wavelength,
		double	wavespeed )

static

Creates an instance of SyntheticSequenceGenerator.

Parameters

background	Background image for object.
object	Object image which will move slowly over the background.
amplitude	Amplitude of wave distortion applied to background.
wavelength	Length of waves in distortion applied to background.
wavespeed	How fast waves will move.
objspeed	How fast object will fly over background.

◆ createSyntheticSequenceGenerator() [5/5]

static SyntheticSequenceGenerator OpenCVForUnity.BgsegmModule.Bgsegm.createSyntheticSequenceGenerator	(	Mat	background,
		Mat	_object,
		double	amplitude,
		double	wavelength,
		double	wavespeed,
		double	objspeed )

static

Creates an instance of SyntheticSequenceGenerator.

Parameters

background	Background image for object.
object	Object image which will move slowly over the background.
amplitude	Amplitude of wave distortion applied to background.
wavelength	Length of waves in distortion applied to background.
wavespeed	How fast waves will move.
objspeed	How fast object will fly over background.

Member Data Documentation

◆ LSBP_CAMERA_MOTION_COMPENSATION_LK

const int OpenCVForUnity.BgsegmModule.Bgsegm.LSBP_CAMERA_MOTION_COMPENSATION_LK = 0 + 1

static

C++: enum LSBPCameraMotionCompensation (cv.bgsegm.LSBPCameraMotionCompensation)

◆ LSBP_CAMERA_MOTION_COMPENSATION_NONE

const int OpenCVForUnity.BgsegmModule.Bgsegm.LSBP_CAMERA_MOTION_COMPENSATION_NONE = 0

static

C++: enum LSBPCameraMotionCompensation (cv.bgsegm.LSBPCameraMotionCompensation)

The documentation for this class was generated from the following file:

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv_contrib/bgsegm/Bgsegm.cs

Static Public Member Functions

Static Public Attributes

Member Function Documentation

◆ createBackgroundSubtractorCNT() [1/5]

◆ createBackgroundSubtractorCNT() [2/5]

◆ createBackgroundSubtractorCNT() [3/5]

◆ createBackgroundSubtractorCNT() [4/5]

◆ createBackgroundSubtractorCNT() [5/5]

◆ createBackgroundSubtractorGMG() [1/3]

◆ createBackgroundSubtractorGMG() [2/3]

◆ createBackgroundSubtractorGMG() [3/3]

◆ createBackgroundSubtractorGSOC() [1/12]

◆ createBackgroundSubtractorGSOC() [2/12]

◆ createBackgroundSubtractorGSOC() [3/12]

◆ createBackgroundSubtractorGSOC() [4/12]

◆ createBackgroundSubtractorGSOC() [5/12]

◆ createBackgroundSubtractorGSOC() [6/12]

◆ createBackgroundSubtractorGSOC() [7/12]

◆ createBackgroundSubtractorGSOC() [8/12]

◆ createBackgroundSubtractorGSOC() [9/12]

◆ createBackgroundSubtractorGSOC() [10/12]

◆ createBackgroundSubtractorGSOC() [11/12]

◆ createBackgroundSubtractorGSOC() [12/12]

◆ createBackgroundSubtractorLSBP() [1/14]

◆ createBackgroundSubtractorLSBP() [2/14]

◆ createBackgroundSubtractorLSBP() [3/14]

◆ createBackgroundSubtractorLSBP() [4/14]

◆ createBackgroundSubtractorLSBP() [5/14]

◆ createBackgroundSubtractorLSBP() [6/14]

◆ createBackgroundSubtractorLSBP() [7/14]

◆ createBackgroundSubtractorLSBP() [8/14]

◆ createBackgroundSubtractorLSBP() [9/14]

◆ createBackgroundSubtractorLSBP() [10/14]

◆ createBackgroundSubtractorLSBP() [11/14]

◆ createBackgroundSubtractorLSBP() [12/14]

◆ createBackgroundSubtractorLSBP() [13/14]

◆ createBackgroundSubtractorLSBP() [14/14]

◆ createBackgroundSubtractorMOG() [1/5]

◆ createBackgroundSubtractorMOG() [2/5]

◆ createBackgroundSubtractorMOG() [3/5]

◆ createBackgroundSubtractorMOG() [4/5]

◆ createBackgroundSubtractorMOG() [5/5]

◆ createSyntheticSequenceGenerator() [1/5]

◆ createSyntheticSequenceGenerator() [2/5]

◆ createSyntheticSequenceGenerator() [3/5]

◆ createSyntheticSequenceGenerator() [4/5]

◆ createSyntheticSequenceGenerator() [5/5]

Member Data Documentation

◆ LSBP_CAMERA_MOTION_COMPENSATION_LK

◆ LSBP_CAMERA_MOTION_COMPENSATION_NONE