5 March 2014 Downhill simplex approach for vehicle headlights detection
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ho-Joong Kang, Ho-Joong Kang, Ho-Kun Kim, Ho-Kun Kim, Il-Whan Oh, Il-Whan Oh, Kyoung-Ho Choi, Kyoung-Ho Choi, } "Downhill simplex approach for vehicle headlights detection", Proc. SPIE 9026, Video Surveillance and Transportation Imaging Applications 2014, 90260X (5 March 2014); doi: 10.1117/12.2035203; https://doi.org/10.1117/12.2035203
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Video surveillance at night
Proceedings of SPIE (May 19 2005)
Tracking people in mixed modality systems
Proceedings of SPIE (January 29 2007)
Context aided tracking in aerial video surveillance
Proceedings of SPIE (April 16 2008)

Back to Top