BackgroundSubtractorMOG2 重要方法
1. BackgroundSubtractorMOG2 的构造函数
C++: BackgroundSubtractorMOG2::BackgroundSubtractorMOG2()
采用默认值进行构造BackgroundSubtractorMOG2的对象。
C++:
BackgroundSubtractorMOG2::
BackgroundSubtractorMOG2(int history, float varThreshold, bool bShadowDetection=true)
采用指定值进行构造BackgroundSubtractorMOG2的对象。
参数说明：
| Parameters: |
- history – Length of the history.
- varThreshold – Threshold on the squared Mahalanobis distance to decide whether it is well described by the background model (see Cthr??). This parameter does not affect the background update. A typical value could be 4 sigma, that is, varThreshold=4*4=16; (see Tb??).
- bShadowDetection – Parameter defining whether shadow detection should be enabled (true or false).
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2. BackgroundSubtractorMOG2 的operate
C++: void BackgroundSubtractorMOG2::operator()(InputArray image, OutputArray fgmask, double learningRate=-1)
参数说明： 参数image为待处理的图像；fgmask得到的前景图像（二值化都的）；learningRate(0~1)配置背景更新方法，0表示不更新，1表示根据最后一帧更新，负数表示自动更新，(0~1)数字越大，背景更新越快。
| Parameters: |
- image – Next video frame.
- fgmask – The output foreground mask as an 8-bit binary image.
- learningRate – The value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.
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以上理解如果做错，欢迎交流。