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Model-based image analysis of human motion using constraint propagation

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2 Author(s)
Joseph O'Rourke ; Dept. of Computer & Information Sci., Moore School of Electrical Engng., Univ. of Pennyslvania, PA, USA ; Norman I. Badler

A system capable of analyzing image sequences of human motion is described. The system is structured as a feedback loop between high and low levels: predictions are made at the semantic level and verifications are sought at the image level. The domain of human motion lends itself to a model-driven analysis, and the system includes a detailed model of the human body. All information extracted from the image is interpreted through a constraint network based on the structure of the human model. A constraint propagation operator is defined and its theoretical properties outlined. An implementation of this operator is described, and results of the analysis system for short image sequences are presented.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-2 ,  Issue: 6 )