Abstract
This paper describes an interactive model-based vision system for vehicle tracking. A human specifies a limited amount of information in the form of object models, which establish a context for autonomous interpretation of scenes containing moving vehicles. Results are presented from several image sequences shot with hand-held uncalibrated cameras.
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