Overtaking vehicles detection and localization for driver assistance

Jiun-Yann Lin; Chung-Lin Huang

doi:10.1117/12.2042082

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5 March 2014 Overtaking vehicles detection and localization for driver assistance

Jiun-Yann Lin, Chung-Lin Huang

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Proceedings Volume 9026, Video Surveillance and Transportation Imaging Applications 2014; 902612 (2014) https://doi.org/10.1117/12.2042082
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

This paper proposed an effective overtaking vehicle detection and localization system based on wheel detection. Using the windshield-mounted camera, it can detect the vehicles in rear-view and side-view. It extracts the MB-LBP feature for the cascaded Adaboost classifiers. Differing from traditional approaches, our method can overcome the perspective variation of the wheels in the images. It can detect the wheels of different aspect rations with varying scales. After wheel detection, it can locate the overtaking vehicle by pairing the front/rear wheels. The experiments show that our system can identify and locate the vehicle appearing in side-view as well as in rear-view. The performance of wheel detector is demonstrated with the precision rate as 0.91 and recall rate as 0.96.

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Jiun-Yann Lin and Chung-Lin Huang "Overtaking vehicles detection and localization for driver assistance", Proc. SPIE 9026, Video Surveillance and Transportation Imaging Applications 2014, 902612 (5 March 2014); https://doi.org/10.1117/12.2042082

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