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Tracking Multiple Persons under Occlusion Using Appearance Model Based on Attributed Relational Graph

Appearance features are important for tracking persons in stationary scenes. The proposed algorithm was based on appearance mold built by attributed relational graph (ARG). The ARG was used for modeling human appearance features containing color and spatial information. The matching degree of the ARGs was utilized for analyzing tracking situations in current frame. For tracking persons under occlusion, multiple feature patches were generated and the genetic algorithm was used for finding optimal labels of patches. Experiments showed the utility and performance of the proposed approach.