Improved Background-Foreground Segmentation Methods

Classes
class	cv::bgsegm::BackgroundSubtractorGMG
	Background Subtractor module based on the algorithm given in [62] . More...
class	cv::bgsegm::BackgroundSubtractorMOG
	Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...

Functions
Ptr< BackgroundSubtractorGMG >	cv::bgsegm::createBackgroundSubtractorGMG (int initializationFrames=120, double decisionThreshold=0.8)
	Creates a GMG Background Subtractor. More...
Ptr< BackgroundSubtractorMOG >	cv::bgsegm::createBackgroundSubtractorMOG (int history=200, int nmixtures=5, double backgroundRatio=0.7, double noiseSigma=0)
	Creates mixture-of-gaussian background subtractor. More...

Detailed Description

Function Documentation

createBackgroundSubtractorGMG()

Ptr<BackgroundSubtractorGMG> cv::bgsegm::createBackgroundSubtractorGMG	(	int	initializationFrames = 120,
		double	decisionThreshold = 0.8
	)

Creates a GMG Background Subtractor.

Parameters

initializationFrames	number of frames used to initialize the background models.
decisionThreshold	Threshold value, above which it is marked foreground, else background.

createBackgroundSubtractorMOG()

Ptr<BackgroundSubtractorMOG> cv::bgsegm::createBackgroundSubtractorMOG	(	int	history = 200,
		int	nmixtures = 5,
		double	backgroundRatio = 0.7,
		double	noiseSigma = 0
	)

Creates mixture-of-gaussian background subtractor.

Parameters

history	Length of the history.
nmixtures	Number of Gaussian mixtures.
backgroundRatio	Background ratio.
noiseSigma	Noise strength (standard deviation of the brightness or each color channel). 0 means some automatic value.