九头蛇:使用剪影检测和跟踪多人

I. Haritaoglu, D. Harwood, L. Davis
{"title":"九头蛇:使用剪影检测和跟踪多人","authors":"I. Haritaoglu, D. Harwood, L. Davis","doi":"10.1109/VS.1999.780263","DOIUrl":null,"url":null,"abstract":"Hydra, is a real-time system for detecting and tracking multiple people when they appear in a group. We describe the computational models employed by Hydra to track multiple people before, during and after occlusion. Hydra combines a silhouette-based shape model, a motion model, and correlation-based matching methods to classify whether or not a foreground region contains multiple people, and to segment the region into its constituent people and track them. Experimental results demonstrate robustness and real-time performance of the algorithm.","PeriodicalId":371192,"journal":{"name":"Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hydra: multiple people detection and tracking using silhouettes\",\"authors\":\"I. Haritaoglu, D. Harwood, L. Davis\",\"doi\":\"10.1109/VS.1999.780263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hydra, is a real-time system for detecting and tracking multiple people when they appear in a group. We describe the computational models employed by Hydra to track multiple people before, during and after occlusion. Hydra combines a silhouette-based shape model, a motion model, and correlation-based matching methods to classify whether or not a foreground region contains multiple people, and to segment the region into its constituent people and track them. Experimental results demonstrate robustness and real-time performance of the algorithm.\",\"PeriodicalId\":371192,\"journal\":{\"name\":\"Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223)\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VS.1999.780263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VS.1999.780263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

Hydra,是一个实时系统,当一个人出现在一个群体中时,它可以检测和跟踪多个人。我们描述了Hydra使用的计算模型,用于在遮挡之前,期间和之后跟踪多人。Hydra结合了基于轮廓的形状模型、运动模型和基于相关性的匹配方法,对前景区域是否包含多人进行分类,并将该区域分割成其组成人员并进行跟踪。实验结果证明了该算法的鲁棒性和实时性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydra: multiple people detection and tracking using silhouettes
Hydra, is a real-time system for detecting and tracking multiple people when they appear in a group. We describe the computational models employed by Hydra to track multiple people before, during and after occlusion. Hydra combines a silhouette-based shape model, a motion model, and correlation-based matching methods to classify whether or not a foreground region contains multiple people, and to segment the region into its constituent people and track them. Experimental results demonstrate robustness and real-time performance of the algorithm.
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