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http://dx.doi.org/10.13067/JKIECS.2013.8.10.1443

Video Based Tail-Lights Status Recognition Algorithm  

Kim, Gyu-Yeong ((주)에이치엠씨 부설연구소)
Lee, Geun-Hoo (경성대학교 전자공학과)
Do, Jin-Kyu ((주)에이치엠씨 부설연구소)
Park, Keun-Soo ((주)MnSA 개발팀)
Park, Jang-Sik (경성대학교 전자공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.8, no.10, 2013 , pp. 1443-1449 More about this Journal
Abstract
Automatic detection of vehicles in front is an integral component of many advanced driver-assistance system, such as collision mitigation, automatic cruise control, and automatic head-lamp dimming. Regardless day and night, tail-lights play an important role in vehicle detecting and status recognizing of driving in front. However, some drivers do not know the status of the tail-lights of vehicles. Thus, it is required for drivers to inform status of tail-lights automatically. In this paper, a recognition method of status of tail-lights based on video processing and recognition technology is proposed. Background estimation, optical flow and Euclidean distance is used to detect vehicles entering tollgate. Then saliency map is used to detect tail-lights and recognize their status in the Lab color coordinates. As results of experiments of using tollgate videos, it is shown that the proposed method can be used to inform status of tail-lights.
Keywords
Tail-Light Detection; Tail-Light Status Recognition; Vehicle Detection; Saliency Map; Optical Flow;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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