A computer vision system for the detection and classification of vehicles at urban road intersections

Stefano Messelodi, Carla Maria Modena, Michele Zanin
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
more » ... detected vehicle, the system is able to describe its path, to estimate its speed and to classify it into seven categories. The classification task relies on a model-based matching technique refined by a feature-based one. Experimental results demonstrate robust, real-time vehicle detection, tracking and classification over several hours of videos taken under different illumination conditions. The system is presently under trial in Trento, a one hundred thousand people town in northern Italy.
doi:10.1007/s10044-004-0239-9 fatcat:owglvslp3rhzzmf2lqwz7724cy