DocumentCode
2366696
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
fYear
2002
fDate
2002
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
Print_ISBN
0-7803-7389-8
Type
conf
DOI
10.1109/ITSC.2002.1041179
Filename
1041179
Link To Document