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    ASIA unversity > 管理學院 > 國際企業學系 > 期刊論文 >  Item 310904400/79865

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/79865

    Title: Real-time Vehicle Color Identification for Surveillance Videos
    Authors: 林智揚;LIN, CHIH-YANG;Ye, Cheng-Hao;Yeh, Cheng-Hao;Ye, Chia-Hung;Yeh, Chia-Hung
    Contributors: 資訊工程學系
    Keywords: vehicle color classification;tree structure;support vector machine
    Date: 2014-02
    Issue Date: 2014-06-05 12:21:17 (UTC+8)
    Abstract: Vehicles are one of the main detection targets of the traffic and security video surveillance system. In this paper,we propose an automatic vehicle color identification method for vehicle classification. The main idea of the proposed scheme is to divide a vehicle into a hierarchical coarse-to-fine structure to extract its wheels, windows, main body, and other auto parts. In the proposed method, the main body alone is used by a support vector machine (SVM) for classification. Experimental results show that the proposed scheme is efficient and effective and the proposed vehicle color identification is suitable for real-time surveillance applications.
    Relation: International Conference on Electronics, Communications and Computers
    Appears in Collections:[國際企業學系] 期刊論文

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