On the effect of data contamination for multitarget tracking, part II

Adrien Ickowicz, J. Cadre, P. Minvielle
{"title":"On the effect of data contamination for multitarget tracking, part II","authors":"Adrien Ickowicz, J. Cadre, P. Minvielle","doi":"10.1109/ICIF.2007.4408188","DOIUrl":null,"url":null,"abstract":"This paper deals with the probabilistic data association issue in the context of multiple target tracking. In the continuation of the part I framework, we focus here on scenarios where multiple false measurements may occur. In particular, the influence of various critical parameters on the multi-tracking efficiency, i.e. the probability of correct association, is analyzed. Besides, we study the impact of the tracking scenario, including a large number of misassociations.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 10th International Conference on Information Fusion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIF.2007.4408188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper deals with the probabilistic data association issue in the context of multiple target tracking. In the continuation of the part I framework, we focus here on scenarios where multiple false measurements may occur. In particular, the influence of various critical parameters on the multi-tracking efficiency, i.e. the probability of correct association, is analyzed. Besides, we study the impact of the tracking scenario, including a large number of misassociations.
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
数据污染对多目标跟踪的影响,第二部分
本文研究了多目标跟踪中的概率数据关联问题。在第一部分框架的延续中,我们将重点关注可能出现多个错误度量的场景。特别分析了各种关键参数对多路跟踪效率的影响,即正确关联的概率。此外,我们还研究了跟踪场景的影响,包括大量的误关联。
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
Semi-autonomous reference data generation for perception performance evaluation Track association and fusion with heterogeneous local trackers Distributed detection of a nuclear radioactive source using fusion of correlated decisions Distributed data fusion algorithms for tracking a maneuvering target Multi agent systems for flexible and robust Bayesian information fusion
×
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