Vehicle License Plates Detection Algorithms Based on Visual Salience Attention Mechanisms

被引：1

作者：

Chen, Zhen-Xue ^{[1
]}

Liu, Cheng-Yun ^{[1
]}

Chang, Fa-Liang ^{[1
]}

Liu, Chun-Sheng ^{[1
]}

机构：

[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China

来源：

2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年

关键词：

ITS (Intelligent Transport System); Vehicle license plate location; Feature selection; Feature fusion; Visual Salience; RECOGNITION; LOCATION;

D O I：

10.1109/WCICA.2010.5554420

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：6195 / 6198

页数：4

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