Downhill simplex approach for vehicle headlights detection

Ho-Joong Kang; Ho-Kun Kim; Il-Whan Oh; Kyoung-Ho Choi

doi:10.1117/12.2035203

5 March 2014 Downhill simplex approach for vehicle headlights detection

Ho-Joong Kang, Ho-Kun Kim, Il-Whan Oh, Kyoung-Ho Choi

Proceedings Volume 9026, Video Surveillance and Transportation Imaging Applications 2014; 90260X (2014) https://doi.org/10.1117/12.2035203
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

Nighttime vehicle detection is an essential problem to be solved in the development of highway surveillance systems that provide information about the vehicle speed, traffic volume, and traffic jams, and so on. In this paper, a novel downhill simplex approach for vehicle headlights detection is presented. In the proposed approach, a rough position of vehicle headlights is detected first. Then, a downhill simplex optimization approach is adopted to find the accurate location of vehicle headlights. For the optimization process, a novel cost function is designed and various headlights are evaluated for possible headlight positions on the detected vehicles, locating an optimal headlight position. Simulation results are provided to show the robustness of the proposed approach for headlights detection.

Citation Download Citation

Ho-Joong Kang, Ho-Kun Kim, Il-Whan Oh, and Kyoung-Ho Choi "Downhill simplex approach for vehicle headlights detection", Proc. SPIE 9026, Video Surveillance and Transportation Imaging Applications 2014, 90260X (5 March 2014); https://doi.org/10.1117/12.2035203

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