速度视觉:通过车牌读取和跟踪来测量速度

G. Garibotto, P. Castello, E. Del Ninno, P. Pedrazzi, G. Zan
{"title":"速度视觉:通过车牌读取和跟踪来测量速度","authors":"G. Garibotto, P. Castello, E. Del Ninno, P. Pedrazzi, G. Zan","doi":"10.1109/ITSC.2001.948725","DOIUrl":null,"url":null,"abstract":"Our proposed approach, Speed Vision by license plate reading is aimed to compute the instantaneous speed of the vehicles using monocular as well as binocular system configurations. By tracking the vehicle in two images it is possible to get a high accurate estimation of the vehicle speed. The features used for matching and tracking are high level features (clusters of matched license plate characters). The processing system is actually connected into a larger distributed architecture based on standard CORBA interfaces to achieve a more efficient interconnection between the peripheral units and the central supervisor. The description of the processing scheme is supported by a simulation model, that is used to identify the most critical parameters of the system. Experimental results in the laboratory environment are discussed, by computing the accuracy in the computation of license plate displacement in different configurations. Finally, a series of experimental results were obtained using a binocular license plate reading system.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Speed-vision: speed measurement by license plate reading and tracking\",\"authors\":\"G. Garibotto, P. Castello, E. Del Ninno, P. Pedrazzi, G. Zan\",\"doi\":\"10.1109/ITSC.2001.948725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our proposed approach, Speed Vision by license plate reading is aimed to compute the instantaneous speed of the vehicles using monocular as well as binocular system configurations. By tracking the vehicle in two images it is possible to get a high accurate estimation of the vehicle speed. The features used for matching and tracking are high level features (clusters of matched license plate characters). The processing system is actually connected into a larger distributed architecture based on standard CORBA interfaces to achieve a more efficient interconnection between the peripheral units and the central supervisor. The description of the processing scheme is supported by a simulation model, that is used to identify the most critical parameters of the system. Experimental results in the laboratory environment are discussed, by computing the accuracy in the computation of license plate displacement in different configurations. Finally, a series of experimental results were obtained using a binocular license plate reading system.\",\"PeriodicalId\":173372,\"journal\":{\"name\":\"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2001.948725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2001.948725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24

摘要

我们提出的车牌读取速度视觉方法旨在使用单目和双目系统配置计算车辆的瞬时速度。通过在两幅图像中跟踪车辆,可以获得对车辆速度的高精度估计。用于匹配和跟踪的特征是高级特征(匹配的车牌字符簇)。处理系统实际上连接到一个基于标准CORBA接口的更大的分布式体系结构中,以实现外围单元和中央管理器之间更有效的互连。仿真模型支持对处理方案的描述,该模型用于识别系统的最关键参数。通过计算不同构型下车牌位移计算的精度,对实验室环境下的实验结果进行了讨论。最后,给出了双目车牌识别系统的一系列实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speed-vision: speed measurement by license plate reading and tracking
Our proposed approach, Speed Vision by license plate reading is aimed to compute the instantaneous speed of the vehicles using monocular as well as binocular system configurations. By tracking the vehicle in two images it is possible to get a high accurate estimation of the vehicle speed. The features used for matching and tracking are high level features (clusters of matched license plate characters). The processing system is actually connected into a larger distributed architecture based on standard CORBA interfaces to achieve a more efficient interconnection between the peripheral units and the central supervisor. The description of the processing scheme is supported by a simulation model, that is used to identify the most critical parameters of the system. Experimental results in the laboratory environment are discussed, by computing the accuracy in the computation of license plate displacement in different configurations. Finally, a series of experimental results were obtained using a binocular license plate reading system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信