We present a system which is able to track objects under partial and total occlusion. The occlusion and movement reasoning uses abstract object descriptions for inference and is based on an extendable knowledge-base. The system manages various hypotheses about where objects could be and where they could reappear. It is able to deal with occlusion, noise and low-level vision failure. Our system uses a top-down approach, and is an initial step to integrate topdown and bottom-up processing of visual information. 1
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