Background Segmentation

Overview

// classes

class cv::cuda::BackgroundSubtractorMOG;
class cv::cuda::BackgroundSubtractorMOG2;

// global functions

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

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

Detailed Documentation

Global 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.

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.