cv::bgsegm::BackgroundSubtractorCNT Class Reference

Background subtraction based on counting. More...

#include <opencv2/bgsegm.hpp>

Collaboration diagram for cv::bgsegm::BackgroundSubtractorCNT:

Public Member Functions
virtual void	apply (InputArray image, OutputArray fgmask, double learningRate=-1) CV_OVERRIDE=0
	Computes a foreground mask.
virtual void	getBackgroundImage (OutputArray backgroundImage) const CV_OVERRIDE=0
	Computes a background image.
virtual bool	getIsParallel () const =0
	Returns if we're parallelizing the algorithm.
virtual int	getMaxPixelStability () const =0
	Returns maximum allowed credit for a pixel in history.
virtual int	getMinPixelStability () const =0
	Returns number of frames with same pixel color to consider stable.
virtual bool	getUseHistory () const =0
	Returns if we're giving a pixel credit for being stable for a long time.
virtual void	setIsParallel (bool value)=0
	Sets if we're parallelizing the algorithm.
virtual void	setMaxPixelStability (int value)=0
	Sets the maximum allowed credit for a pixel in history.
virtual void	setMinPixelStability (int value)=0
	Sets the number of frames with same pixel color to consider stable.
virtual void	setUseHistory (bool value)=0
	Sets if we're giving a pixel credit for being stable for a long time.
Public Member Functions inherited from cv::BackgroundSubtractor
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 subtraction based on counting.

About as fast as MOG2 on a high end system. More than twice faster than MOG2 on cheap hardware (benchmarked on Raspberry Pi3).

Algorithm by Sagi Zeevi ( https://github.com/sagi-z/BackgroundSubtractorCNT )

Member Function Documentation

apply()

virtual void cv::bgsegm::BackgroundSubtractorCNT::apply ( InputArray image, OutputArray fgmask, double learningRate = -1 )

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.apply(	image[, fgmask[, learningRate]]	) ->	fgmask

Computes a foreground mask.

Parameters

image	Next video frame.
fgmask	The output foreground mask as an 8-bit binary image.
learningRate	The value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

Implements cv::BackgroundSubtractor.

getBackgroundImage()

virtual void cv::bgsegm::BackgroundSubtractorCNT::getBackgroundImage ( OutputArray backgroundImage ) const

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.getBackgroundImage(	[, backgroundImage]	) ->	backgroundImage

Computes a background image.

Parameters

backgroundImage

The output background image.

Note

Sometimes the background image can be very blurry, as it contain the average background statistics.

Implements cv::BackgroundSubtractor.

getIsParallel()

virtual bool cv::bgsegm::BackgroundSubtractorCNT::getIsParallel ( ) const

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.getIsParallel(		) ->	retval

Returns if we're parallelizing the algorithm.

getMaxPixelStability()

virtual int cv::bgsegm::BackgroundSubtractorCNT::getMaxPixelStability ( ) const

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.getMaxPixelStability(		) ->	retval

Returns maximum allowed credit for a pixel in history.

getMinPixelStability()

virtual int cv::bgsegm::BackgroundSubtractorCNT::getMinPixelStability ( ) const

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.getMinPixelStability(		) ->	retval

Returns number of frames with same pixel color to consider stable.

getUseHistory()

virtual bool cv::bgsegm::BackgroundSubtractorCNT::getUseHistory ( ) const

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.getUseHistory(		) ->	retval

Returns if we're giving a pixel credit for being stable for a long time.

setIsParallel()

virtual void cv::bgsegm::BackgroundSubtractorCNT::setIsParallel ( bool value )

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.setIsParallel(	value	) ->	None

Sets if we're parallelizing the algorithm.

setMaxPixelStability()

virtual void cv::bgsegm::BackgroundSubtractorCNT::setMaxPixelStability ( int value )

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.setMaxPixelStability(	value	) ->	None

Sets the maximum allowed credit for a pixel in history.

setMinPixelStability()

virtual void cv::bgsegm::BackgroundSubtractorCNT::setMinPixelStability ( int value )

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.setMinPixelStability(	value	) ->	None

Sets the number of frames with same pixel color to consider stable.

setUseHistory()

virtual void cv::bgsegm::BackgroundSubtractorCNT::setUseHistory ( bool value )

pure virtual

Python:
	cv.bgsegm.BackgroundSubtractorCNT.setUseHistory(	value	) ->	None

Sets if we're giving a pixel credit for being stable for a long time.

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

• opencv2/bgsegm.hpp