Moving object velocity estimation by appropriately choosing spatial frequencies in the MixeD domain

Shengli Wu, N. Hamada
{"title":"Moving object velocity estimation by appropriately choosing spatial frequencies in the MixeD domain","authors":"Shengli Wu, N. Hamada","doi":"10.1109/PACRIM.1999.799487","DOIUrl":null,"url":null,"abstract":"To estimate moving objects velocity in an image sequence is useful for a variety of applications, such as computer vision and monitoring systems. An effective way is to approach it in the transform/spatiotemporal mixed domain (MixeD), but it remains a problem how to select several 2-D spatial frequency points in MixeD domain which may influence the accuracy of velocity estimation and object detection. We propose a method to approach the velocity estimation problem by automatically selecting only two appropriate points in 2-D spatial frequency domain, the selection is achieved by using the established evaluation function together with a threshold. The simulation results show that the proposed method is effective on the selection of spatial frequency points.","PeriodicalId":176763,"journal":{"name":"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1999.799487","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

To estimate moving objects velocity in an image sequence is useful for a variety of applications, such as computer vision and monitoring systems. An effective way is to approach it in the transform/spatiotemporal mixed domain (MixeD), but it remains a problem how to select several 2-D spatial frequency points in MixeD domain which may influence the accuracy of velocity estimation and object detection. We propose a method to approach the velocity estimation problem by automatically selecting only two appropriate points in 2-D spatial frequency domain, the selection is achieved by using the established evaluation function together with a threshold. The simulation results show that the proposed method is effective on the selection of spatial frequency points.
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
混合域中适当选择空间频率的运动目标速度估计
在图像序列中估计运动物体的速度对各种应用都很有用,例如计算机视觉和监控系统。一种有效的方法是在变换/时空混合域(mixed)中进行处理,但如何在混合域中选择多个二维空间频率点是一个问题,这可能会影响速度估计和目标检测的精度。提出了一种在二维空间频域上自动选择两个合适点的速度估计方法,该方法利用所建立的评价函数和阈值来实现速度估计。仿真结果表明,该方法对空间频率点的选取是有效的。
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
Performance analysis of indoor infrared wireless systems using OOK CDMA on diffuse channels Dynamic multimedia integration with the WWW Optical frequency-encoding CDMA systems using time-encoding for MAI mitigation Influence of shear, rotary inertia on the dynamic characteristics of flexible manipulators Convergence analysis of complex adaptive IIR notch filters with colored noisy signal
×
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