Detailed Description

Classes

Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...

Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...

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.

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

Creates MOG2 Background Subtractor.

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.

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.

Ptr< cuda::BackgroundSubtractorMOG2 > cv::cuda::createBackgroundSubtractorMOG2 ( int history = 500,

double varThreshold = 16,

bool detectShadows = true )

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.

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