cv::cuda::BackgroundSubtractorGMG Class Reference

Background/Foreground Segmentation Algorithm. More...

#include <opencv2/cudalegacy.hpp>

Collaboration diagram for cv::cuda::BackgroundSubtractorGMG:

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
virtual double	getBackgroundPrior () const =0
virtual double	getDecisionThreshold () const =0
virtual double	getDefaultLearningRate () const =0
virtual int	getMaxFeatures () const =0
virtual double	getMaxVal () const =0
virtual double	getMinVal () const =0
virtual int	getNumFrames () const =0
virtual int	getQuantizationLevels () const =0
virtual int	getSmoothingRadius () const =0
virtual bool	getUpdateBackgroundModel () const =0
virtual void	setBackgroundPrior (double bgprior)=0
virtual void	setDecisionThreshold (double thresh)=0
virtual void	setDefaultLearningRate (double lr)=0
virtual void	setMaxFeatures (int maxFeatures)=0
virtual void	setMaxVal (double val)=0
virtual void	setMinVal (double val)=0
virtual void	setNumFrames (int nframes)=0
virtual void	setQuantizationLevels (int nlevels)=0
virtual void	setSmoothingRadius (int radius)=0
virtual void	setUpdateBackgroundModel (bool update)=0
Public Member Functions inherited from cv::BackgroundSubtractor
virtual void	apply (InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate=-1)=0
	Computes a foreground mask with known foreground mask input.
virtual void	apply (InputArray image, OutputArray fgmask, double learningRate=-1)=0
	Computes a foreground mask.
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

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 [109] .

Member Function Documentation

apply() [1/2]

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

pure virtual

apply() [2/2]

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

pure virtual

getBackgroundPrior()

virtual double cv::cuda::BackgroundSubtractorGMG::getBackgroundPrior ( ) const

pure virtual

getDecisionThreshold()

virtual double cv::cuda::BackgroundSubtractorGMG::getDecisionThreshold ( ) const

pure virtual

getDefaultLearningRate()

virtual double cv::cuda::BackgroundSubtractorGMG::getDefaultLearningRate ( ) const

pure virtual

getMaxFeatures()

virtual int cv::cuda::BackgroundSubtractorGMG::getMaxFeatures ( ) const

pure virtual

getMaxVal()

virtual double cv::cuda::BackgroundSubtractorGMG::getMaxVal ( ) const

pure virtual

getMinVal()

virtual double cv::cuda::BackgroundSubtractorGMG::getMinVal ( ) const

pure virtual

getNumFrames()

virtual int cv::cuda::BackgroundSubtractorGMG::getNumFrames ( ) const

pure virtual

getQuantizationLevels()

virtual int cv::cuda::BackgroundSubtractorGMG::getQuantizationLevels ( ) const

pure virtual

getSmoothingRadius()

virtual int cv::cuda::BackgroundSubtractorGMG::getSmoothingRadius ( ) const

pure virtual

getUpdateBackgroundModel()

virtual bool cv::cuda::BackgroundSubtractorGMG::getUpdateBackgroundModel ( ) const

pure virtual

setBackgroundPrior()

virtual void cv::cuda::BackgroundSubtractorGMG::setBackgroundPrior ( double bgprior )

pure virtual

setDecisionThreshold()

virtual void cv::cuda::BackgroundSubtractorGMG::setDecisionThreshold ( double thresh )

pure virtual

setDefaultLearningRate()

virtual void cv::cuda::BackgroundSubtractorGMG::setDefaultLearningRate ( double lr )

pure virtual

setMaxFeatures()

virtual void cv::cuda::BackgroundSubtractorGMG::setMaxFeatures ( int maxFeatures )

pure virtual

setMaxVal()

virtual void cv::cuda::BackgroundSubtractorGMG::setMaxVal ( double val )

pure virtual

setMinVal()

virtual void cv::cuda::BackgroundSubtractorGMG::setMinVal ( double val )

pure virtual

setNumFrames()

virtual void cv::cuda::BackgroundSubtractorGMG::setNumFrames ( int nframes )

pure virtual

setQuantizationLevels()

virtual void cv::cuda::BackgroundSubtractorGMG::setQuantizationLevels ( int nlevels )

pure virtual

setSmoothingRadius()

virtual void cv::cuda::BackgroundSubtractorGMG::setSmoothingRadius ( int radius )

pure virtual

setUpdateBackgroundModel()

virtual void cv::cuda::BackgroundSubtractorGMG::setUpdateBackgroundModel ( bool update )

pure virtual

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

• opencv2/cudalegacy.hpp