Traffic Monitoring and Vehicle Tracking using Roadside Cameras
Yao-Jan Wu
Feng-Li Lian
Tang-Hsien Chang
Washington Univ., Seattle;
This paper appears in: Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Publication Date: 8-11 Oct. 2006
Volume: 6,
On page(s): 4631-4636
Location: Taipei,
ISBN: 1-4244-0099-6
INSPEC Accession Number: 9790695
Digital Object Identifier: 10.1109/ICSMC.2006.385034
Current Version Published: 2007-07-16
Abstract
This paper studies the integration and implementation of digital image processing techniques on the roadside camera for traffic monitoring and vehicle tracking. The image processing framework developed in this study is mainly composed of five stages: (1) pre-processing, (2) foreground segmentation, (3) shadow removal, (4) tracking, and (5) traffic parameters extraction. During the pre-processing stage, the information of road geometry is obtained and the camera is calibrated. At the foreground segmentation stage and shadow removal stage, moving vehicles are segmented from the original input images. To make the system more robust, an alpha-beta filter is used at the multi-vehicle tracking stage. Subsequently, related traffic parameters are extracted at the end of each tracking mechanism. The experimental results show that this system is capable of successfully extracting the traffic parameters, including the trajectory of the moving vehicles based on the image sequences captured by a digital camera on a free flow traffic in the daytime..
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
