Model-based image analysis of human motion using constraint propagation
Joseph O’Rourke, Norman I. Badler · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1980
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.