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Twenty-Second Asilomar Conference on Signals, Systems and Computers
A multiple-look segmentation technique for processing image sequences which uses a probability mask is presented. By designing the segmentation process in two stages ; the probability mask formation, and the refinement by the Maximum A Posteriori(MAP) decision rule, a more reliable silhouette of a moving object is obtained for classification. Experimental results are presented showing the a priori probability mask formation and a comparison of the results of the Maximum Likelihood(ML) decisiondoi:10.1109/acssc.1988.754598 fatcat:jyyzxgu64vhsrcc2dloabtrawq