An efficient vision system for multiple car tracking
Zhihong Zeng, Songde Ma · 2003
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 12 ms on Pentium III 450 MHz PC.