摘要: A computer vision system for tracking multiple people in relatively unconstrained environments is described. Tracking performed at three levels of abstraction: regions, and groups. novel, adaptive background subtraction method that combines colour gradient information used to cope with shadows unreliable cues. People are tracked through mutual occlusions as they form groups part from one another. Strong use made disambiguate provide qualitative estimates depth ordering position during occlusion. Some simple interactions objects can also be detected. The tested using indoor outdoor sequences. It robust should a useful mechanism bootstrapping reinitialisation more-specific but less-robust human models.
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