TAILIEUCHUNG - A Real-Time Computer Vision System for Vehicle Tracking and Traffic Surveillance

A Real-Time Computer Vision System for Vehicle Tracking and Traffic Surveillance | A Real-Time Computer Vision System for Vehicle Tracking and Traffic Surveillance Benjamin Coifman corresponding author zephyr@ Institute of Transportation Studies University of California Berkeley California 94720 http zephyr voice 510 848-5121 Fax 510 642-1246 David Beymer1 Beymer@ Philip McLauchlan2 and Jitendra Malik Malik@ Dept. of Electrical Engineering and Computer Sciences University of California Berkeley California 94720-1776 http pm RoadWatch Submitted for publication in Transportation Research-C Revised December 1 1998 1 D. Beymer is now with SRI International 333 Ravenswood Ave Menlo Park CA 94025 2 P. McLauchlan is now with the University of Surrey School of EE IT and Math. Guildford Surrey GU2 5XH UK Coifman Beymer McLauchlan Malik 1 ABSTRACT Increasing congestion on freeways and problems associated with existing detectors have spawned an interest in new vehicle detection technologies such as video image processing. Existing commercial image processing systems work well in free-flowing traffic but the systems have difficulties with congestion shadows and lighting transitions. These problems stem from vehicles partially occluding one another and the fact that vehicles appear differently under various lighting conditions. We are developing a feature-based tracking system for detecting vehicles under these challenging conditions. Instead of tracking entire vehicles vehicle features are tracked to make the system robust to partial occlusion. The system is fully functional under changing lighting conditions because the most salient features at the given moment are tracked. After the features exit the tracking region they are grouped into discrete vehicles using a common motion constraint. The groups represent individual vehicle trajectories which can be used to measure traditional traffic parameters as well as new metrics suitable for improved .

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