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In order to single out pedestrian crossing from real-life scenarios, this paper does the priori and likelihood modeling in Bayesian framework based on the defined block-based Markov random field. Furthermore, using coarse to fine technique and covariance matrix descriptor, it is focused on the crossing's central position by maximizing a posterior probability. Finally, it spreads around this center...
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