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Proceedings Paper

A new approach for vehicle color recognition based on specular-free image
Author(s): Wei Hu; Jie Yang; Li Bai; Lixiu Yao
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Paper Abstract

Vehicle color recognition plays an important role in the intelligent transportation system. Most of the state-of-art methods roughly take all pixels into consideration, but many parts of cars such as car windows and wheels contain no color information. Also these methods do not work well enough in reducing the influence of sunlight. In this paper, we propose a novel approach that aims to estimate the RGB value of the car body rather than just classify the vehicle’s color and achieve state-of-art performance. We try to filter the useless parts automatically and estimate the influence of sunlight on each pixel by introducing the specular-free image and the weighted-light-influence image. Experimental results demonstrate the performance of the proposed scheme in differentiating cars with very similar color.

Paper Details

Date Published: 24 December 2013
PDF: 5 pages
Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90671Q (24 December 2013); doi: 10.1117/12.2051976
Show Author Affiliations
Wei Hu, Shanghai Jiao Tong Univ. (China)
Jie Yang, Shanghai Jiao Tong Univ. (China)
Li Bai, Univ. of Nottingham (United Kingdom)
Lixiu Yao, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 9067:
Sixth International Conference on Machine Vision (ICMV 2013)
Branislav Vuksanovic; Antanas Verikas; Jianhong Zhou, Editor(s)

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