| OpenCV 3.4.7 Open Source Computer Vision

Classes | Functions
Motion Analysis
Video Analysis

## Classes
class | cv::BackgroundSubtractor
| Base class for background/foreground segmentation. : More...
class | cv::BackgroundSubtractorKNN
| K-nearest neighbours - based Background/Foreground Segmentation Algorithm. More...
class | cv::BackgroundSubtractorMOG2
| Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...

## Functions
Ptr< BackgroundSubtractorKNN > | cv::createBackgroundSubtractorKNN (int history=500, double dist2Threshold=400.0, bool detectShadows=true)
| Creates KNN Background Subtractor. More...
Ptr< BackgroundSubtractorMOG2 > | cv::createBackgroundSubtractorMOG2 (int history=500, double varThreshold=16, bool detectShadows=true)
| Creates MOG2 Background Subtractor. More...

## Detailed Description

## Function Documentation

## § createBackgroundSubtractorKNN()

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

Python:
| retval | = | cv.createBackgroundSubtractorKNN( | [, history[, dist2Threshold[, detectShadows]]] | )

`#include <opencv2/video/background_segm.hpp>`

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.

## § createBackgroundSubtractorMOG2()

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

Python:
| retval | = | cv.createBackgroundSubtractorMOG2( | [, history[, varThreshold[, detectShadows]]] | )

`#include <opencv2/video/background_segm.hpp>`

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.

Examples:
  samples/cpp/segment_objects.cpp.