An improved correlation tracking algorithm based on adaptive template modification

Luo Shi-tu, Zhang Qi, Luo Feilu, W. Yanling
{"title":"An improved correlation tracking algorithm based on adaptive template modification","authors":"Luo Shi-tu, Zhang Qi, Luo Feilu, W. Yanling","doi":"10.1109/ICIA.2004.1373377","DOIUrl":null,"url":null,"abstract":"We introduce a two-stage matching algorithm based on target feature, in which coarse searching and accurate location are combined to avoid so much calculation as in correlation tracking. According to the image feature of TV tracking system, we present an adaptive template modification strategy, which in some degree overcomes the influences on tracking result by distortion, noise and shelter and so on of the actual image. Meanwhile, simulation results show good effect.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Acquisition, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2004.1373377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

We introduce a two-stage matching algorithm based on target feature, in which coarse searching and accurate location are combined to avoid so much calculation as in correlation tracking. According to the image feature of TV tracking system, we present an adaptive template modification strategy, which in some degree overcomes the influences on tracking result by distortion, noise and shelter and so on of the actual image. Meanwhile, simulation results show good effect.
一种改进的基于自适应模板修改的相关跟踪算法
提出了一种基于目标特征的两阶段匹配算法,将粗搜索和精确定位相结合,避免了相关跟踪中大量的计算。根据电视跟踪系统的图像特点,提出了一种自适应模板修改策略,在一定程度上克服了实际图像失真、噪声、遮挡等对跟踪结果的影响。同时,仿真结果显示了良好的效果。
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 求助全文
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