Interactive Model-Based Vehicle Tracking
Gardner, Warren F.
Lawton, Daryl T.
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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. The system is able to successfully track vehicles under complex outdoor conditions through the use of gravity, vehicle, and road models. Results are presented from several image sequences shot with hand-held uncalibrated cameras.