Mixture Gaussian model is one of background subtraction methods.
混合高斯模型是背景对消中一种非常有效的方法。
Taking the method of adaptive Gaussian mixture method can make model for background meanwhile it is a difficult point to maintain and update background model.
采用自适应高斯混合方法为背景建模的难点是对背景模型的维持与更新。
And if there are no overlaps between each Gaussian component, parameters of Gaussian mixture PDF model can be exact estimated quickly with the dynamic cluster algorithm (DC).
而在各高斯分量概率密度互不重叠的条件下，使用动态簇算法(DC)则可快速而精确地估计出混合高斯模型参数。
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