Background Segmentation

Classes
class	cv::cuda::BackgroundSubtractorMOG
	Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...
class	cv::cuda::BackgroundSubtractorMOG2
	Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...

Functions
Ptr< cuda::BackgroundSubtractorMOG >	cv::cuda::createBackgroundSubtractorMOG (int history=200, int nmixtures=5, double backgroundRatio=0.7, double noiseSigma=0)
	Creates mixture-of-gaussian background subtractor. More...
Ptr< cuda::BackgroundSubtractorMOG2 >	cv::cuda::createBackgroundSubtractorMOG2 (int history=500, double varThreshold=16, bool detectShadows=true)
	Creates MOG2 Background Subtractor. More...

Detailed Description

Function Documentation

createBackgroundSubtractorMOG()

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

#include <opencv2/cudabgsegm.hpp>

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.

createBackgroundSubtractorMOG2()

Ptr<cuda::BackgroundSubtractorMOG2> cv::cuda::createBackgroundSubtractorMOG2	(	int	history = 500,
		double	varThreshold = 16,
		bool	detectShadows = true
	)

#include <opencv2/cudabgsegm.hpp>

Creates MOG2 Background Subtractor.

Parameters

history	Length of the history.
varThreshold	Threshold on the squared Mahalanobis distance between the pixel and the model to decide whether a pixel is well described by the background model. This parameter does not affect the background update.
detectShadows	If true, the algorithm will detect shadows and mark them. It decreases the speed a bit, so if you do not need this feature, set the parameter to false.