cv::bgsegm::BackgroundSubtractorGMG Class Reference

Background Subtractor module based on the algorithm given in [Gold2012] . More...

#include <opencv2/bgsegm.hpp>

Inheritance diagram for cv::bgsegm::BackgroundSubtractorGMG:

Public Member Functions
virtual double	getBackgroundPrior () const =0
	Returns the prior probability that each individual pixel is a background pixel.
virtual double	getDecisionThreshold () const =0
	Returns the value of decision threshold.
virtual double	getDefaultLearningRate () const =0
	Returns the learning rate of the algorithm.
virtual int	getMaxFeatures () const =0
	Returns total number of distinct colors to maintain in histogram.
virtual double	getMaxVal () const =0
	Returns the maximum value taken on by pixels in image sequence. e.g. 1.0 or 255.
virtual double	getMinVal () const =0
	Returns the minimum value taken on by pixels in image sequence. Usually 0.
virtual int	getNumFrames () const =0
	Returns the number of frames used to initialize background model.
virtual int	getQuantizationLevels () const =0
	Returns the parameter used for quantization of color-space.
virtual int	getSmoothingRadius () const =0
	Returns the kernel radius used for morphological operations.
virtual bool	getUpdateBackgroundModel () const =0
	Returns the status of background model update.
virtual void	setBackgroundPrior (double bgprior)=0
	Sets the prior probability that each individual pixel is a background pixel.
virtual void	setDecisionThreshold (double thresh)=0
	Sets the value of decision threshold.
virtual void	setDefaultLearningRate (double lr)=0
	Sets the learning rate of the algorithm.
virtual void	setMaxFeatures (int maxFeatures)=0
	Sets total number of distinct colors to maintain in histogram.
virtual void	setMaxVal (double val)=0
	Sets the maximum value taken on by pixels in image sequence.
virtual void	setMinVal (double val)=0
	Sets the minimum value taken on by pixels in image sequence.
virtual void	setNumFrames (int nframes)=0
	Sets the number of frames used to initialize background model.
virtual void	setQuantizationLevels (int nlevels)=0
	Sets the parameter used for quantization of color-space.
virtual void	setSmoothingRadius (int radius)=0
	Sets the kernel radius used for morphological operations.
virtual void	setUpdateBackgroundModel (bool update)=0
	Sets the status of background model update.
Public Member Functions inherited from cv::BackgroundSubtractor
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
void	write (const Ptr< FileStorage > &fs, const String &name=String()) 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 Subtractor module based on the algorithm given in [Gold2012] .

Takes a series of images and returns a sequence of mask (8UC1) images of the same size, where 255 indicates Foreground and 0 represents Background. This class implements an algorithm described in "Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation," A. Godbehere, A. Matsukawa, K. Goldberg, American Control Conference, Montreal, June 2012.

Member Function Documentation

getBackgroundPrior()

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

pure virtual

Returns the prior probability that each individual pixel is a background pixel.

getDecisionThreshold()

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

pure virtual

Returns the value of decision threshold.

Decision value is the value above which pixel is determined to be FG.

getDefaultLearningRate()

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

pure virtual

Returns the learning rate of the algorithm.

It lies between 0.0 and 1.0. It determines how quickly features are "forgotten" from histograms.

getMaxFeatures()

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

pure virtual

Returns total number of distinct colors to maintain in histogram.

getMaxVal()

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

pure virtual

Returns the maximum value taken on by pixels in image sequence. e.g. 1.0 or 255.

getMinVal()

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

pure virtual

Returns the minimum value taken on by pixels in image sequence. Usually 0.

getNumFrames()

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

pure virtual

Returns the number of frames used to initialize background model.

getQuantizationLevels()

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

pure virtual

Returns the parameter used for quantization of color-space.

It is the number of discrete levels in each channel to be used in histograms.

getSmoothingRadius()

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

pure virtual

Returns the kernel radius used for morphological operations.

getUpdateBackgroundModel()

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

pure virtual

Returns the status of background model update.

setBackgroundPrior()

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

pure virtual

Sets the prior probability that each individual pixel is a background pixel.

setDecisionThreshold()

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

pure virtual

Sets the value of decision threshold.

setDefaultLearningRate()

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

pure virtual

Sets the learning rate of the algorithm.

setMaxFeatures()

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

pure virtual

Sets total number of distinct colors to maintain in histogram.

setMaxVal()

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

pure virtual

Sets the maximum value taken on by pixels in image sequence.

setMinVal()

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

pure virtual

Sets the minimum value taken on by pixels in image sequence.

setNumFrames()

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

pure virtual

Sets the number of frames used to initialize background model.

setQuantizationLevels()

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

pure virtual

Sets the parameter used for quantization of color-space.

setSmoothingRadius()

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

pure virtual

Sets the kernel radius used for morphological operations.

setUpdateBackgroundModel()

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

pure virtual

Sets the status of background model update.

---

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

• opencv2/bgsegm.hpp