Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at. More...

#include <opencv2/bgsegm.hpp>

Inheritance diagram for cv::bgsegm::BackgroundSubtractorLSBP:

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.

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 using Local SVD Binary Pattern. More details about the algorithm can be found at.

Member Function Documentation

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

pure virtual

Python:
	fgmask	=	cv.bgsegm_BackgroundSubtractorLSBP.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.

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

pure virtual

Python:
	backgroundImage	=	cv.bgsegm_BackgroundSubtractorLSBP.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.

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