Integrated real-time vision-based preceding vehicle detection in urban roads

Authors:
Yanwen Chong;Wu Chen;Zhilin Li;William H. K. Lam;Qingquan Li
Affiliations:
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;Department of Land Surveying and Geoinformatics, Hong Kong Polytechnic University, Kowloon, Hong Kong, China;Department of Land Surveying and Geoinformatics, Hong Kong Polytechnic University, Kowloon, Hong Kong, China;Department of Civil and Structural Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China;State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Year:
2011

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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.