A shadow handler in a video-based real-time traffic monitoring system

M. Kilger
{"title":"A shadow handler in a video-based real-time traffic monitoring system","authors":"M. Kilger","doi":"10.1109/ACV.1992.240332","DOIUrl":null,"url":null,"abstract":"A video-based system for traffic monitoring is presented. The objective of the system is to set up a high-level description of the traffic scene comprising the position, speed and class of the vehicles. Algorithms for detecting moving objects, separating the vehicles from their shadows, tracking and classification are presented. The classification of vehicles under sunny conditions is very difficult, if the shadow isn't separated from the vehicles. This approach for classification runs in real-time on low-cost hardware. the shadow can be separated from the vehicle and the knowledge about the shape of the shadow can be efficiently used. The shadow analysis algorithm itself uses high-level knowledge about the geometry of the scene (heading of the observed road) and about global data (date and time).<<ETX>>","PeriodicalId":153393,"journal":{"name":"[1992] Proceedings IEEE Workshop on Applications of Computer Vision","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"214","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings IEEE Workshop on Applications of Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACV.1992.240332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 214

Abstract

A video-based system for traffic monitoring is presented. The objective of the system is to set up a high-level description of the traffic scene comprising the position, speed and class of the vehicles. Algorithms for detecting moving objects, separating the vehicles from their shadows, tracking and classification are presented. The classification of vehicles under sunny conditions is very difficult, if the shadow isn't separated from the vehicles. This approach for classification runs in real-time on low-cost hardware. the shadow can be separated from the vehicle and the knowledge about the shape of the shadow can be efficiently used. The shadow analysis algorithm itself uses high-level knowledge about the geometry of the scene (heading of the observed road) and about global data (date and time).<>
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
基于视频的实时交通监控系统中的影子处理器
提出了一种基于视频的交通监控系统。该系统的目标是建立交通场景的高级描述,包括车辆的位置,速度和类别。提出了运动目标的检测、车辆与阴影的分离、跟踪和分类算法。在阳光充足的条件下,如果没有将阴影与车辆分开,则很难对车辆进行分类。这种分类方法在低成本硬件上实时运行。影子可以从车辆中分离出来,并且可以有效地利用关于影子形状的知识。阴影分析算法本身使用了关于场景几何(观察道路的方向)和全局数据(日期和时间)的高级知识。
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
Restoration of scanning probe microscope images Algorithms for a fast confocal optical inspection system A vision system for inspection of ball bonds in integrated circuits Projectile impact detection and performance evaluation using machine vision Curve recognition using B-spline representation
×
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