Motion Analysis

Overview

// classes

class cv::BackgroundSubtractor;
class cv::BackgroundSubtractorKNN;
class cv::BackgroundSubtractorMOG2;

// global functions

Ptr<BackgroundSubtractorKNN>
cv::createBackgroundSubtractorKNN(
    int history = 500,
    double dist2Threshold = 400.0,
    bool detectShadows = true
    );

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

Detailed Documentation

Global Functions

Ptr<BackgroundSubtractorKNN>
cv::createBackgroundSubtractorKNN(
    int history = 500,
    double dist2Threshold = 400.0,
    bool detectShadows = true
    )

Creates KNN Background Subtractor.

Parameters:

history	Length of the history.
dist2Threshold	Threshold on the squared distance between the pixel and the sample to decide whether a pixel is close to that sample. 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.

Ptr<BackgroundSubtractorMOG2>
cv::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.