opencv BackgroundSubtractorMOG和BackgroundSubtractorMOG2的区别

最新推荐文章于 2025-06-07 10:56:55 发布

秋风知劲草

最新推荐文章于 2025-06-07 10:56:55 发布

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本文详细介绍了两种背景差分算法BackgroundSubtractorMOG和BackgroundSubtractorMOG2的构造函数及参数含义，对比了两者的差异，并展示了如何使用这两种算法更新背景模型并计算前景掩膜。

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1、官网BackgroundSubtractorMOG：

BackgroundSubtractorMOG::BackgroundSubtractorMOG

The constructors.

C++: BackgroundSubtractorMOG::BackgroundSubtractorMOG()

C++: BackgroundSubtractorMOG::BackgroundSubtractorMOG(int history, int nmixtures, double backgroundRatio, double noiseSigma=0)

Python: cv2.BackgroundSubtractorMOG([history, nmixtures, backgroundRatio[, noiseSigma]]) → <BackgroundSubtractorMOG object>
    Parameters:	

        history – Length of the history.
        nmixtures – Number of Gaussian mixtures.
        backgroundRatio – Background ratio.
        noiseSigma – Noise strength.

Default constructor sets all parameters to default values.
BackgroundSubtractorMOG::operator()

Updates the background model and returns the foreground mask

C++: void BackgroundSubtractorMOG::operator()(InputArray image, OutputArray fgmask, double learningRate=0)

Parameters are the same as in BackgroundSubtractor::operator()

2、BackgroundSubtractorMOG2：

BackgroundSubtractorMOG2::BackgroundSubtractorMOG2

The constructors.

C++: BackgroundSubtractorMOG2::BackgroundSubtractorMOG2()

C++: BackgroundSubtractorMOG2::BackgroundSubtractorMOG2(int history, float varThreshold, bool bShadowDetection=true )
    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).

BackgroundSubtractorMOG2::operator()

Updates the background model and computes the foreground mask

C++: void BackgroundSubtractorMOG2::operator()(InputArray image, OutputArray fgmask, double learningRate=-1)

    See BackgroundSubtractor::operator().

3、两者参数有点不同，比较坑的是两者都有提取背景的函数

C++: void BackgroundSubtractor::getBackgroundImage(OutputArray backgroundImage) const

C++: void BackgroundSubtractorMOG2::getBackgroundImage(OutputArray backgroundImage) 但在程序中测试，BackgroundSubtractor传入Mat，并没获得它的背景（传入的Mat没发生改变）

BackgroundSubtractorMOG2可以获得背景