Real-time Vehicle Color Identification for Surveillance Videos

ASIAIR > College of Management > Department of International Business > Journal Artical > 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 04:21:17 (UTC+0)
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:	[Department of International Business] Journal Artical

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