Chapter
Jul 2, 2019
Vehicle Retrieval Using Features of Vehicle Front Windshields
Authors: Xin Shi, Chihang Zhao [email protected], Yingbing Mao, and Aiwen ChenAuthor Affiliations
Publication: CICTP 2019
Abstract
Vehicle retrieval-based features is an important topic in intelligent transportation systems. Firstly, a novel method of vehicle retrieval using color histogram features of vehicle front windshield is proposed in this paper. Secondly, the proposed vehicle retrieval method is compared with local binary patterns: gabor wavelet transform, contourlet transform, and scale-invariant feature transform. Finally, the comparative experiments are carried out, and the experimental results indicate that the proposed vehicle retrieval method offers the best classification performance, and the comprehensive index of search of vehicle retrieval using color histogram features of vehicle front windshield is 86.7%.
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Published In
CICTP 2019
Pages: 2295 - 2305
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
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Xin Shi
College of Management and Economics, Tianjin Univ., Tianjin 300072, P.R. China; Construction Command Office, Shijiazhuang City Rd., Shijiazhuang 050011, P.R. China.
School of Transportation, Southeast Univ., Nanjing 211189, P.R. China. E-mail: [email protected]
Yingbing Mao
School of Transportation, Southeast Univ., Nanjing 211189, P.R. China.
Aiwen Chen
School of Transportation, Southeast Univ., Nanjing 211189, P.R. China.
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