cv::bgsegm::BackgroundSubtractorCNT Class Reference

Background subtraction based on counting. More...

#include <opencv2/bgsegm.hpp>

Inheritance 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.

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

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

pure virtual

Python:
	fgmask	=	cv.bgsegm_BackgroundSubtractorCNT.apply(	image[, fgmask[, learningRate]]	)

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.

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

pure virtual

Python:
	backgroundImage	=	cv.bgsegm_BackgroundSubtractorCNT.getBackgroundImage(	[, 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.

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

pure virtual

Python:
	retval	=	cv.bgsegm_BackgroundSubtractorCNT.getIsParallel(		)

Returns if we're parallelizing the algorithm.

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

pure virtual

Python:
	retval	=	cv.bgsegm_BackgroundSubtractorCNT.getMaxPixelStability(		)

Returns maximum allowed credit for a pixel in history.

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

pure virtual

Python:
	retval	=	cv.bgsegm_BackgroundSubtractorCNT.getMinPixelStability(		)

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

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

pure virtual

Python:
	retval	=	cv.bgsegm_BackgroundSubtractorCNT.getUseHistory(		)

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

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

pure virtual

Python:
	None	=	cv.bgsegm_BackgroundSubtractorCNT.setIsParallel(	value	)

Sets if we're parallelizing the algorithm.

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

pure virtual

Python:
	None	=	cv.bgsegm_BackgroundSubtractorCNT.setMaxPixelStability(	value	)

Sets the maximum allowed credit for a pixel in history.

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

pure virtual

Python:
	None	=	cv.bgsegm_BackgroundSubtractorCNT.setMinPixelStability(	value	)

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

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

pure virtual

Python:
	None	=	cv.bgsegm_BackgroundSubtractorCNT.setUseHistory(	value	)

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:

• bgsegm.hpp