Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25472
Title: Integrated real-time vision-based preceding vehicle detection in urban roads
Authors: Chong, Y
Chen, W 
Li, Z 
Lam, WHK 
Li, Q
Keywords: Feature extraction
Shadow boundary
Vehicle detection
Vision tracking
Issue Date: 2011
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2011, v. 6838 LNCS, p. 270-275 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: This paper presents a real-time algorithm for a vision-based preceding vehicle detection system. The algorithm contains two main components: vehicle detection with various vehicle features, and vehicle detection verification with dynamic tracking. Vehicle detection is achieved using vehicle shadow features to define a region of interest (ROI). After utilizing methods such as histogram equalization, ROI entropy and mean of edge image, the exact vehicle rear box is determined. In the vehicle tracking process, the predicted box is verified and updated. Test results demonstrate that the new system possesses good detection accuracy and can be implemented in real-time operation.
Description: 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou, 11-14 August 2011
URI: http://hdl.handle.net/10397/25472
ISBN: 9783642247279
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-24728-6_36
Appears in Collections:Conference Paper

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