光流可靠性测度及其在多传感器融合中的适用性

2009 IEEE Intelligent Vehicles Symposium Pub Date : 2009-06-03 DOI:10.1109/IVS.2009.5164333

Florian Obermeier, S. Hawe, Michaela Zwick, K. Diepold

{"title":"光流可靠性测度及其在多传感器融合中的适用性","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":"{\"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}","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

摘要

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。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

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

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 IEEE Intelligent Vehicles Symposium

自引率

0.00%

发文量

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