OpenCV  3.4.0
Open Source Computer Vision
Classes | Functions


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


Ptr< cuda::BackgroundSubtractorMOGcv::cuda::createBackgroundSubtractorMOG (int history=200, int nmixtures=5, double backgroundRatio=0.7, double noiseSigma=0)
 Creates mixture-of-gaussian background subtractor. More...
Ptr< cuda::BackgroundSubtractorMOG2cv::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 

Creates mixture-of-gaussian background subtractor.

historyLength of the history.
nmixturesNumber of Gaussian mixtures.
backgroundRatioBackground ratio.
noiseSigmaNoise 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 

Creates MOG2 Background Subtractor.

historyLength of the history.
varThresholdThreshold 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.
detectShadowsIf 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.