A novel background Gaussian mixture model
新型背景混合高斯模型

A deficit of classic Gaussian mixture model in background subtraction is the high computation cost. To solve this problem, a novel algorithm is proposed in this paper. A threshold parameter corresponding to the mean of deviation is utilized to judge whether a model matches the current pixel intensity. The new algorithm efficiently reduces the calculation burden of the operation of square and exponent with classical model; meanwhile, a non-linear weight updating approach is adopted, with the notion of sustain stationary time introduced in, and hence the quick converting of a relative long still object in scene into the background is achievable. Experimental results show that the new algorithm has significantly improved the calculation efficiency of background model.