标题:Vehicle License Plates Detection Algorithms Based on Visual Salience Attention Mechanisms
作者:Chen, Zhen-Xue; Liu, Cheng-Yun; Chang, Fa-Liang; Liu, Chun-Sheng
通讯作者:Chen, ZX
作者机构:[Chen, Zhen-Xue; Liu, Cheng-Yun; Chang, Fa-Liang; Liu, Chun-Sheng] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China.
会议名称:8th World Congress on Intelligent Control and Automation (WCICA)
会议日期:JUL 06-09, 2010
来源:2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA)
出版年:2010
页码:6195-6198
DOI:10.1109/WCICA.2010.5554420
关键词:ITS (Intelligent Transport System); Vehicle license plate location;; Feature selection; Feature fusion; Visual Salience
摘要:The paper presents a method for locating vehicle license plates using feature salience fusions. Feature salience is used to select target features based on minimum probability of error. In order to fuse these salient features, the Dempster Shafer evidence theory is used, Finally, this method gives the final location of the license plates, The method offers robustness when dealing with noisy, Experimental results indicate that the proposed method work. well with real-world situations.
收录类别:CPCI-S
WOS核心被引频次:1
资源类型:会议论文
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