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

#include "cudabgsegm.hpp"

Inheritance diagram for cv::cuda::BackgroundSubtractorMOG:

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

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

virtual double	getBackgroundRatio () const =0

virtual int	getHistory () const =0

virtual int	getNMixtures () const =0

virtual double	getNoiseSigma () const =0

virtual void	setBackgroundRatio (double backgroundRatio)=0

virtual void	setHistory (int nframes)=0

virtual void	setNMixtures (int nmix)=0

virtual void	setNoiseSigma (double noiseSigma)=0

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 [72] .

See also: BackgroundSubtractorMOG

Note

An example on gaussian mixture based background/foreground segmantation can be found at opencv_source_code/samples/gpu/bgfg_segm.cpp

Member Function Documentation

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

pure virtual

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

pure virtual

virtual double cv::cuda::BackgroundSubtractorMOG::getBackgroundRatio ( ) const

pure virtual

virtual int cv::cuda::BackgroundSubtractorMOG::getHistory ( ) const

pure virtual

virtual int cv::cuda::BackgroundSubtractorMOG::getNMixtures ( ) const

pure virtual

virtual double cv::cuda::BackgroundSubtractorMOG::getNoiseSigma ( ) const

pure virtual

virtual void cv::cuda::BackgroundSubtractorMOG::setBackgroundRatio ( double backgroundRatio )

pure virtual

virtual void cv::cuda::BackgroundSubtractorMOG::setHistory ( int nframes )

pure virtual

virtual void cv::cuda::BackgroundSubtractorMOG::setNMixtures ( int nmix )

pure virtual

virtual void cv::cuda::BackgroundSubtractorMOG::setNoiseSigma ( double noiseSigma )

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