Person identification in surveillance video by combining MPEG-7 experts

Identification of people in surveillance videos is an important problem and MPEG-7 visual descriptors are utilized for such recognition in a regional manner, which result from independently moving subjects in front of stationary cameras. While background modeling is achieved by using a hierarchical non-parametric Parzen-window approach, the resulting regional descriptors are classified by combining experts via different combination rules. Simulation results enjoy a promising recognition performance for the tested data set.

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