Title :
Real-time image tracking for traffic monitoring
Author :
Tseng, Shung-Tsang ; Song, Kai-Tai
Author_Institution :
Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
This paper presents an image tracking system and its application to traffic parameter estimation at a road intersection. An active contour model is adopted to obtain vehicle locations of motorcycles as well as automobiles. Image location measurement is further incorporated with Kalman filter techniques to track the individual vehicle motion. To initialize image tracking at a junction, we propose a design based on the concept of contour growing. Traffic parameters such as vehicle speed and numbers of vehicles can be calculated with satisfactory accuracy. Actual CCD camera images of a busy junction were employed to verify the proposed method.
Keywords :
Kalman filters; computerised monitoring; image segmentation; optical tracking; parameter estimation; real-time systems; traffic engineering computing; traffic recording; CCD camera images; Kalman filter technique; active contour model; automobiles; contour growing; image location measurement; model-based image segmentation method; motorcycles; real-time image tracking; road intersection; traffic monitoring; traffic parameter estimation; vehicle motion tracking; vehicle numbers; vehicle speed; Active contours; Automobiles; Monitoring; Motion measurement; Motorcycles; Parameter estimation; Roads; Tracking; Traffic control; Vehicles;
Conference_Titel :
Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
Print_ISBN :
0-7803-7389-8
DOI :
10.1109/ITSC.2002.1041179