Improved particle filtering algorithm for maneuvering object tracking using deformation detection

M. Parseh, S. Pashazadeh, Hadi Seyedarabi
{"title":"Improved particle filtering algorithm for maneuvering object tracking using deformation detection","authors":"M. Parseh, S. Pashazadeh, Hadi Seyedarabi","doi":"10.1109/ICCKE.2012.6395379","DOIUrl":null,"url":null,"abstract":"In this paper, a new approach is proposed for tracking maneuvering target by improving the basic SIR algorithm. We proposed a dynamic model for maneuvering target. If changes of target model are larger than a predetermined threshold, then the target model will be updated. Practical results show that our proposed approach considerably improves accurate tracking of a maneuvering object. We will compare our proposed approach with the basic SIR algorithm in tracking a single maneuvering aircraft. Results of our proposed algorithm are also illustrated in tracking different maneuvering targets on few real-world case study videos.","PeriodicalId":154379,"journal":{"name":"2012 2nd International eConference on Computer and Knowledge Engineering (ICCKE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 2nd International eConference on Computer and Knowledge Engineering (ICCKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCKE.2012.6395379","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

In this paper, a new approach is proposed for tracking maneuvering target by improving the basic SIR algorithm. We proposed a dynamic model for maneuvering target. If changes of target model are larger than a predetermined threshold, then the target model will be updated. Practical results show that our proposed approach considerably improves accurate tracking of a maneuvering object. We will compare our proposed approach with the basic SIR algorithm in tracking a single maneuvering aircraft. Results of our proposed algorithm are also illustrated in tracking different maneuvering targets on few real-world case study videos.
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
基于变形检测的机动目标跟踪改进粒子滤波算法
本文通过对基本SIR算法的改进,提出了一种新的机动目标跟踪方法。提出了机动目标的动力学模型。如果目标模型的变化大于预定的阈值,则更新目标模型。实际结果表明,该方法大大提高了机动目标的跟踪精度。我们将比较我们提出的方法与基本SIR算法在跟踪单个机动飞机。在几个实际案例研究视频中,我们提出的算法也在跟踪不同的机动目标上得到了证明。
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
An improved direct torque control using fuzzy logic controllers and adaptive observer Automatic signal segmentation based on singular spectrum analysis and imperialist competitive algorithm Reusability assessment of test collections with multi-levels of judgments A group-based trust propagation method Autonomous parallel parking of a vehicle in a limited space using a RBF network and a feedback linearization controller
×
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