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A computer vision system for the detection and classification of vehicles at urban road intersections
2005
Pattern Analysis and Applications
This paper presents a real-time vision system to compute traffic parameters by analyzing monocular image sequences from polemounted video-cameras at urban crossroads. The system is flexible with respect to road geometry and camera position, permitting data collection from several monitored crosses. It uses a combination of segmentation and motion information to localize and track moving objects on the road plane, utilizing background subtraction and a feature-based tracking methodology. For
doi:10.1007/s10044-004-0239-9
fatcat:owglvslp3rhzzmf2lqwz7724cy