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Proceedings Paper

Downhill simplex approach for vehicle headlights detection
Author(s): Ho-Joong Kang; Ho-Kun Kim; Il-Whan Oh; Kyoung-Ho Choi
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Paper 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.

Paper Details

Date Published: 5 March 2014
PDF: 6 pages
Proc. SPIE 9026, Video Surveillance and Transportation Imaging Applications 2014, 90260X (5 March 2014); doi: 10.1117/12.2035203
Show Author Affiliations
Ho-Joong Kang, Mokpo National Univ. (Korea, Republic of)
Ho-Kun Kim, SEO Electronics Co., Ltd. (Korea, Republic of)
Il-Whan Oh, Mokpo National Univ. (Korea, Republic of)
Kyoung-Ho Choi, Mokpo National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9026:
Video Surveillance and Transportation Imaging Applications 2014
Robert P. Loce; Eli Saber; Ned Lecky, Editor(s)

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