Real-time Vehicle Color Identification for Surveillance Videos

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

請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/79865

題名:	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
貢獻者:	資訊工程學系
關鍵詞:	vehicle color classification;tree structure;support vector machine
日期:	2014-02
上傳時間:	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
顯示於類別:	[國際企業學系] 期刊論文

文件中的檔案:

檔案	大小	格式	瀏覽次數
index.html	0Kb	HTML	365	檢視/開啟

在ASIAIR中所有的資料項目都受到原著作權保護.