OpenCV  5.0.0-pre
Open Source Computer Vision
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Classes | Functions
Background Segmentation

Detailed Description

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::BackgroundSubtractorMOGcv::cuda::createBackgroundSubtractorMOG (int history=200, int nmixtures=5, double backgroundRatio=0.7, double noiseSigma=0)
 Creates mixture-of-gaussian background subtractor.
 
Ptr< cuda::BackgroundSubtractorMOG2cv::cuda::createBackgroundSubtractorMOG2 (int history=500, double varThreshold=16, bool detectShadows=true)
 Creates MOG2 Background Subtractor.
 

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
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 
)

#include <opencv2/cudabgsegm.hpp>

Creates MOG2 Background Subtractor.

Parameters
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.