Share Email Print
cover

Proceedings Paper

Robust vehicle extraction in video-based intelligent transportation systems
Author(s): Lei Xie; Guangxi Zhu; Yuqi Wang; Haixiang Xu; Zhenming Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In recent years, video-based Intelligent Transportation Systems (ITS) have been of major importance for enforcing traffic management policies. We propose a real-time and effective method for detecting vehicles from a sequence of traffic images taken by a single roadside mounted camera. The proposed algorithm includes three stages: first, extract moving object region from the current input image by background subtraction method, second, eliminate moving cast shadow which is often caused by moving vehicle and, at last, detect vehicle so that there can be a unique object associated with each vehicle. The proposed method has been tested on a number of monocular traffic-image sequences and the experimental results on the real-world videos show that the algorithm is effective and real-time. The correct rate of vehicle detection is higher than 90 percent, independent of environmental conditions.

Paper Details

Date Published: 24 June 2005
PDF: 8 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596067 (24 June 2005); doi: 10.1117/12.633435
Show Author Affiliations
Lei Xie, Huazhong Univ. of Science and Technology (China)
Guangxi Zhu, Huazhong Univ. of Science and Technology (China)
Yuqi Wang, Huazhong Univ. of Science and Technology (China)
Haixiang Xu, Huazhong Univ. of Science and Technology (China)
Zhenming Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top