Real-time Vehicle Color Identification for Surveillance Videos

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题名:	Real-time Vehicle Color Identification for Surveillance Videos
作者:	林智揚;LIN, CHIH-YANG;Ye, Cheng-Hao;Yeh, Cheng-Hao;Ye, Chia-Hung;Yeh, Chia-Hung
贡献者:	資訊工程學系
关键词:	vehicle color classification;tree structure;support vector machine
日期:	2014-02
上传时间:	2014-06-05 04:21:17 (UTC+0)
摘要:	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.
關聯:	International Conference on Electronics, Communications and Computers
显示于类别:	[國際企業學系] 期刊論文

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