cv::cuda::BackgroundSubtractorMOG2 Class Reference

Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...

#include <opencv2/cudabgsegm.hpp>

Collaboration diagram for cv::cuda::BackgroundSubtractorMOG2:

Public Member Functions
virtual void	apply (InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate, Stream &stream)=0
virtual void	apply (InputArray image, OutputArray fgmask, double learningRate, Stream &stream)=0
void	getBackgroundImage (GpuMat &backgroundImage, Stream &stream)
virtual void	getBackgroundImage (OutputArray backgroundImage, Stream &stream) const =0
Public Member Functions inherited from cv::BackgroundSubtractorMOG2
virtual void	apply (InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate=-1) CV_OVERRIDE=0
	Computes a foreground mask and skips known foreground in evaluation.
virtual void	apply (InputArray image, OutputArray fgmask, double learningRate=-1) CV_OVERRIDE=0
	Computes a foreground mask.
virtual double	getBackgroundRatio () const =0
	Returns the "background ratio" parameter of the algorithm.
virtual double	getComplexityReductionThreshold () const =0
	Returns the complexity reduction threshold.
virtual bool	getDetectShadows () const =0
	Returns the shadow detection flag.
virtual int	getHistory () const =0
	Returns the number of last frames that affect the background model.
virtual int	getNMixtures () const =0
	Returns the number of gaussian components in the background model.
virtual double	getShadowThreshold () const =0
	Returns the shadow threshold.
virtual int	getShadowValue () const =0
	Returns the shadow value.
virtual double	getVarInit () const =0
	Returns the initial variance of each gaussian component.
virtual double	getVarMax () const =0
virtual double	getVarMin () const =0
virtual double	getVarThreshold () const =0
	Returns the variance threshold for the pixel-model match.
virtual double	getVarThresholdGen () const =0
	Returns the variance threshold for the pixel-model match used for new mixture component generation.
virtual void	setBackgroundRatio (double ratio)=0
	Sets the "background ratio" parameter of the algorithm.
virtual void	setComplexityReductionThreshold (double ct)=0
	Sets the complexity reduction threshold.
virtual void	setDetectShadows (bool detectShadows)=0
	Enables or disables shadow detection.
virtual void	setHistory (int history)=0
	Sets the number of last frames that affect the background model.
virtual void	setNMixtures (int nmixtures)=0
	Sets the number of gaussian components in the background model.
virtual void	setShadowThreshold (double threshold)=0
	Sets the shadow threshold.
virtual void	setShadowValue (int value)=0
	Sets the shadow value.
virtual void	setVarInit (double varInit)=0
	Sets the initial variance of each gaussian component.
virtual void	setVarMax (double varMax)=0
virtual void	setVarMin (double varMin)=0
virtual void	setVarThreshold (double varThreshold)=0
	Sets the variance threshold for the pixel-model match.
virtual void	setVarThresholdGen (double varThresholdGen)=0
	Sets the variance threshold for the pixel-model match used for new mixture component generation.
Public Member Functions inherited from cv::BackgroundSubtractor
virtual void	getBackgroundImage (OutputArray backgroundImage) const =0
	Computes a background image.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Additional Inherited Members
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Gaussian Mixture-based Background/Foreground Segmentation Algorithm.

The class discriminates between foreground and background pixels by building and maintaining a model of the background. Any pixel which does not fit this model is then deemed to be foreground. The class implements algorithm described in [326] .

See also

BackgroundSubtractorMOG2

Member Function Documentation

apply() [1/2]

virtual void cv::cuda::BackgroundSubtractorMOG2::apply ( InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate, Stream & stream )

pure virtual

apply() [2/2]

virtual void cv::cuda::BackgroundSubtractorMOG2::apply ( InputArray image, OutputArray fgmask, double learningRate, Stream & stream )

pure virtual

getBackgroundImage() [1/2]

void cv::cuda::BackgroundSubtractorMOG2::getBackgroundImage ( GpuMat & backgroundImage, Stream & stream )

inline

getBackgroundImage() [2/2]

virtual void cv::cuda::BackgroundSubtractorMOG2::getBackgroundImage ( OutputArray backgroundImage, Stream & stream ) const

pure virtual

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

• opencv2/cudabgsegm.hpp