Title :
Video-Based Distance Traffic Analysis: Application to Vehicle Tracking and Counting
Author :
Sánchez, A. ; Suárez, P.D. ; Conci, A. ; Nunes, E.O.
Author_Institution :
Dept. of Comput., Rey Juan Carlos Univ., Madrid, Spain
Abstract :
Imaging hardware and video processing techniques offer advantages for traffic monitoring and surveillance. As these experiments show, using appropriate road and vehicle modeling and strong vehicle detection and tracking algorithms offers a good trade-off between correct dynamic vehicle identification and a real-time frame rate. Further, heuristic rules can help analyze and solve difficult traffic situations.
Keywords :
computerised monitoring; object detection; object tracking; road traffic; road vehicles; traffic engineering computing; video signal processing; video surveillance; dynamic vehicle identification; heuristic rule; imaging hardware; real-time frame rate; traffic monitoring; traffic surveillance; vehicle counting; vehicle detection; vehicle modeling; vehicle tracking; video processing technique; video-based distance traffic analysis; Decision support systems; Tracking; Traffic control; Video signal processing; Machine learning; applications; computer vision; edge and feature detection; feature representation; heuristic methods; intelligent systems; knowledge modeling; object recognition; transportation; video analysis;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2010.143
