GMM proposed in tends to describe a background pixel using a mixture of K Gaussian distributions.Thus, it can deal with more complex background scenes, such as waving leaves and flapping flags.

• 混合高斯模型用于描述混合高斯分布区域的背景像素点，这样，它可以应用于更复杂的背景图像，如摆动的树叶和飘荡的旗帜。