An Efficient Vision System for Multiple Car Tracking
نویسندگان
چکیده
An efficient vision system is proposed for multiple car tracking on the highway. The main modules of the system are: lane detection, separate 2D model-based trackers (rectangular model for passing car and U-shape model for distant car), heuristic car detection, and a process coordinator. In the system, the dynamical creation and termination of tracking processes optimizes the amount of spent computational resources. The system is successfully tested with the image sequence from PETS2001 and the average processing time per frame is 12ms on Pentium III 450MHz PC. The work in this paper is supported by the digital museum project and the national natural science foundation of China (no.60135020).
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