cv::bgsegm::BackgroundSubtractorMOG Class Reference

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

#include <opencv2/bgsegm.hpp>

Collaboration diagram for cv::bgsegm::BackgroundSubtractorMOG:

Public Member Functions
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.
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 implements the algorithm described in [138] .

Member Function Documentation

getBackgroundRatio()

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

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorMOG.getBackgroundRatio(		) ->	retval

getHistory()

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

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorMOG.getHistory(		) ->	retval

getNMixtures()

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

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorMOG.getNMixtures(		) ->	retval

getNoiseSigma()

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

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorMOG.getNoiseSigma(		) ->	retval

setBackgroundRatio()

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

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorMOG.setBackgroundRatio(	backgroundRatio	) ->	None

setHistory()

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

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorMOG.setHistory(	nframes	) ->	None

setNMixtures()

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

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorMOG.setNMixtures(	nmix	) ->	None

setNoiseSigma()

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

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorMOG.setNoiseSigma(	noiseSigma	) ->	None

---

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

• opencv2/bgsegm.hpp