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

#include "cudabgsegm.hpp"

Inheritance diagram for cv::cuda::BackgroundSubtractorMOG2:

Public Member Functions
virtual void	apply (InputArray image, OutputArray fgmask, double learningRate, Stream &stream)=0

virtual void	getBackgroundImage (OutputArray backgroundImage, Stream &stream) const =0

Public Member Functions inherited from cv::BackgroundSubtractorMOG2
virtual double	getBackgroundRatio () const =0
	Returns the "background ratio" parameter of the algorithm. More...

virtual double	getComplexityReductionThreshold () const =0
	Returns the complexity reduction threshold. More...

virtual bool	getDetectShadows () const =0
	Returns the shadow detection flag. More...

virtual int	getHistory () const =0
	Returns the number of last frames that affect the background model. More...

virtual int	getNMixtures () const =0
	Returns the number of gaussian components in the background model. More...

virtual double	getShadowThreshold () const =0
	Returns the shadow threshold. More...

virtual int	getShadowValue () const =0
	Returns the shadow value. More...

virtual double	getVarInit () const =0
	Returns the initial variance of each gaussian component. More...

virtual double	getVarMax () const =0

virtual double	getVarMin () const =0

virtual double	getVarThreshold () const =0
	Returns the variance threshold for the pixel-model match. More...

virtual double	getVarThresholdGen () const =0
	Returns the variance threshold for the pixel-model match used for new mixture component generation. More...

virtual void	setBackgroundRatio (double ratio)=0
	Sets the "background ratio" parameter of the algorithm. More...

virtual void	setComplexityReductionThreshold (double ct)=0
	Sets the complexity reduction threshold. More...

virtual void	setDetectShadows (bool detectShadows)=0
	Enables or disables shadow detection. More...

virtual void	setHistory (int history)=0
	Sets the number of last frames that affect the background model. More...

virtual void	setNMixtures (int nmixtures)=0
	Sets the number of gaussian components in the background model. More...

virtual void	setShadowThreshold (double threshold)=0
	Sets the shadow threshold. More...

virtual void	setShadowValue (int value)=0
	Sets the shadow value. More...

virtual void	setVarInit (double varInit)=0
	Sets the initial variance of each gaussian component. More...

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. More...

virtual void	setVarThresholdGen (double varThresholdGen)=0
	Sets the variance threshold for the pixel-model match used for new mixture component generation. More...

Public Member Functions inherited from cv::BackgroundSubtractor
virtual void	apply (InputArray image, OutputArray fgmask, double learningRate=-1)=0
	Computes a foreground mask. More...

virtual void	getBackgroundImage (OutputArray backgroundImage) const =0
	Computes a background image. More...

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state. More...

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...

virtual String	getDefaultName () const

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...

virtual void	save (const String &filename) const

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

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. More...

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

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 [163] .

See also: BackgroundSubtractorMOG2

Member Function Documentation

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

pure virtual

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

pure virtual

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

cudabgsegm/include/opencv2/cudabgsegm.hpp

Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation