Research on motion segmentation by integrating maximizer of the posterior marginals with MAP

A novel video motion object automatic segmentation algorithm based on Gaussian Markov random field is studied in this paper. In this algorithm, the probability density functions of the different images are estimated as Gaussian mixture distributions, moving object detection algorithm based on integrating maximizer of the posterior marginals with MAP. Firstly, initial segmentation is applied to obtain number of the initial motions and the corresponding initial parameters of the motion model. Then the parameters are updated by using the given parameter estimation method. The experiment results show that the proposed algorithm here is effective.