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An appearance-based body model for multiple people tracking

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3 Author(s)
I. Haritaoglu ; IBM Almaden Res. Center, San Jose, CA, USA ; D. Harwood ; L. S. Davis

We describe an appearance-based human body model for tracking multiple people when they are interaction with each others causing significant occlusion amongst them, or when they re-enter the scene. The proposed model allows real time surveillance systems understand “who is who” after multiple people interactions, partial or total occlusions, or when a person “reappeal” in the scene. It combines the grayscale textural appearance and expected shape information together in a 2D dynamic template. Experimental results demonstrates the robustness and real time performance of the proposed model

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Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:4 )

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