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Proceedings Paper

Overtaking vehicles detection and localization for driver assistance
Author(s): Jiun-Yann Lin; Chung-Lin Huang
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Paper 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.

Paper Details

Date Published: 5 March 2014
PDF: 12 pages
Proc. SPIE 9026, Video Surveillance and Transportation Imaging Applications 2014, 902612 (5 March 2014); doi: 10.1117/12.2042082
Show Author Affiliations
Jiun-Yann Lin, National Tsing Hua Univ. (Taiwan)
Chung-Lin Huang, National Tsing Hua Univ. (Taiwan)
Asia Univ. (Taiwan)

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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