License Plate Detection Using Local Structure Patterns

Younghyun Lee, Taeyup Song, Bonhwa Ku, Seoungseon Jeon, D. Han, Hanseok Ko
{"title":"License Plate Detection Using Local Structure Patterns","authors":"Younghyun Lee, Taeyup Song, Bonhwa Ku, Seoungseon Jeon, D. Han, Hanseok Ko","doi":"10.1109/AVSS.2010.48","DOIUrl":null,"url":null,"abstract":"We address the problem of license plate detection invideo surveillance systems. The Adaboost based approach,known for relative ease of implementation, makes use ofdiscriminative features such as edges or Haar-like features.In this paper, we propose a novel detection algorithm basedon local structure patterns for license plate detection. Theproposed algorithm includes post-processing methods toreduce false positive rate using positional and colorinformation of license plates. Experimental resultsdemonstrate effectiveness of the proposed methodcompared","PeriodicalId":415758,"journal":{"name":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AVSS.2010.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

Abstract

We address the problem of license plate detection invideo surveillance systems. The Adaboost based approach,known for relative ease of implementation, makes use ofdiscriminative features such as edges or Haar-like features.In this paper, we propose a novel detection algorithm basedon local structure patterns for license plate detection. Theproposed algorithm includes post-processing methods toreduce false positive rate using positional and colorinformation of license plates. Experimental resultsdemonstrate effectiveness of the proposed methodcompared
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于局部结构模式的车牌检测
本文讨论了视频监控系统中车牌检测的问题。基于Adaboost的方法以相对容易实现而闻名,它利用了边缘或haar样特征等判别性特征。本文提出了一种基于局部结构模式的车牌检测算法。该算法包括利用车牌的位置信息和颜色信息来降低误报率的后处理方法。实验结果验证了该方法的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Statistical Background Modeling: An Edge Segment Based Moving Object Detection Approach Who, what, when, where, why and how in video analysis: an application centric view Trajectory Based Activity Discovery Local Abnormality Detection in Video Using Subspace Learning Functionality Delegation in Distributed Surveillance Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1