Optical flow reliability measures and their applicability for multi-sensor fusion

Florian Obermeier, S. Hawe, Michaela Zwick, K. Diepold
{"title":"Optical flow reliability measures and their applicability for multi-sensor fusion","authors":"Florian Obermeier, S. Hawe, Michaela Zwick, K. Diepold","doi":"10.1109/IVS.2009.5164333","DOIUrl":null,"url":null,"abstract":"In absence of a truly reliable confidence measure for optical flow, this paper points out a few methods, how optical flow estimation results can be tested for reliability and accuracy. We are especially interested in how to make use of complementary information in the visible and infrared spectrum in a multi-sensor environment.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Intelligent Vehicles Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2009.5164333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In absence of a truly reliable confidence measure for optical flow, this paper points out a few methods, how optical flow estimation results can be tested for reliability and accuracy. We are especially interested in how to make use of complementary information in the visible and infrared spectrum in a multi-sensor environment.
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
光流可靠性测度及其在多传感器融合中的适用性
在没有真正可靠的光流置信测度的情况下,本文提出了几种方法来检验光流估计结果的可靠性和准确性。我们对如何在多传感器环境中利用可见光和红外光谱中的互补信息特别感兴趣。
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 communication network for the CBTC system Rear-end collision warning system on account of a rear-end monitoring camera Route memorization in real-time data processing using Run-Length Encoding Ego-motion estimation and moving object tracking using multi-layer LIDAR Incorporating contextual information in pedestrian recognition
×
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