A Robust Vehicle Model Construction and Identification System using Local Feature Alignment

被引：0

作者：

Hao-you Wang ^{[1
]}

Shih, Huang-Chia ^{[1
]}

机构：

[1] Yuan Ze Univ, Dept Elect Engn, Taoyuan, Taiwan

来源：

2013 IEEE 17TH INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE) | 2013年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

this study aims to construct the vehicle feature model and deal with the vehicle identification problem without depending on the license plate recognition (LPR). The proposed system is applicable for detecting the fare evasion in electronic road pricing system. In the experiments, the completed vehicle model can be successfully built even though the training dataset are suffering the partial occlusion.

引用

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页码：57 / 58

页数：2

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