This is a simple design of the Gaussian kernel source code.
这是一个简单的高斯核设计源代码。
How do you implement a calculated Gaussian kernel?
你如何实现一个计算高斯内核？
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
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