DocumentCode :
3095428
Title :
Frequency-Tuned Nighttime Brake-Light Detection
Author :
Chen, Duan-Yu ; Lin, Yu-Hao
Author_Institution :
Dept. of Electr. Eng., Yuan-Ze Univ., Chungli, Taiwan
fYear :
2010
fDate :
15-17 Oct. 2010
Firstpage :
619
Lastpage :
622
Abstract :
Advanced safety vehicle (ASV) is a critical issue in recent years for automobiles, especially when the number of vehicles is growing rapidly world wide. The cost down of general cameras makes it feasible to having an intelligent system of visual-based event detection in front for forward collision avoidance and mitigation. When driving in nighttime, vehicles in front are generally visible by their tail and brake lights. The brake lights are particularly important due to their consequent events that drivers need to focus on. Therefore, in this paper, we propose a novel approach that can detect brake lights at night using a camera by analyzing the signal in both spatial and frequency domain. Unlike the traditional approaches that employ the knowledge of the heuristic features, such as symmetry and position of rear facing vehicle, size and so forth, we focus on finding the invariant features from the regions of brake lights in frequency domain and therefore can conduct the detection process in a part-based manner. Experiment from extensive dataset shows that our proposed system can efficiently and effectively detect brake lights under different lighting and traffic conditions, and thus prove its feasibility in real-world environments.
Keywords :
brakes; cameras; collision avoidance; feature extraction; road safety; road vehicles; traffic engineering computing; advanced safety vehicle; brake lights detection; forward collision avoidance; heuristic feature; intelligent system; visual-based event detection; Cameras; Feature extraction; Frequency domain analysis; Image color analysis; Noise; Shape; Vehicles; Brake light detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-8378-5
Electronic_ISBN :
978-0-7695-4222-5
Type :
conf
DOI :
10.1109/IIHMSP.2010.157
Filename :
5636241
Link To Document :
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