从移动车辆录制的视频对齐

J. Serrat, Ferran Diego, F. Lumbreras, J. Álvarez
{"title":"从移动车辆录制的视频对齐","authors":"J. Serrat, Ferran Diego, F. Lumbreras, J. Álvarez","doi":"10.1109/ICIAP.2007.21","DOIUrl":null,"url":null,"abstract":"We address the synchronization of a pair of video sequences captured from moving vehicles and the spatial registration of all the temporally corresponding frames. This is necessary in order to perform the pixel wise comparison of a pair of videos. The novelty of our method is that is free from three common restrictions of most previous works. First, it does not require that the two cameras be rigidly fixed to each other, since they can move independently. Second, the temporal correspondence does not assume a linear mapping. Third, it does not rely on the complete trajectories of image features. We present our results in the context of two applications, outdoor surveillance at night and the comparison of vehicle headlights systems.","PeriodicalId":118466,"journal":{"name":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Alignment of videos recorded from moving vehicles\",\"authors\":\"J. Serrat, Ferran Diego, F. Lumbreras, J. Álvarez\",\"doi\":\"10.1109/ICIAP.2007.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the synchronization of a pair of video sequences captured from moving vehicles and the spatial registration of all the temporally corresponding frames. This is necessary in order to perform the pixel wise comparison of a pair of videos. The novelty of our method is that is free from three common restrictions of most previous works. First, it does not require that the two cameras be rigidly fixed to each other, since they can move independently. Second, the temporal correspondence does not assume a linear mapping. Third, it does not rely on the complete trajectories of image features. We present our results in the context of two applications, outdoor surveillance at night and the comparison of vehicle headlights systems.\",\"PeriodicalId\":118466,\"journal\":{\"name\":\"14th International Conference on Image Analysis and Processing (ICIAP 2007)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"14th International Conference on Image Analysis and Processing (ICIAP 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2007.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2007.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

我们解决了从移动车辆中捕获的一对视频序列的同步和所有时间对应帧的空间注册。这对于执行一对视频的像素比较是必要的。我们的方法的新颖之处在于,它不受大多数以前作品的三个常见限制。首先,它不需要两个摄像机彼此固定,因为它们可以独立移动。其次,时间对应并不假设是线性映射。第三,它不依赖于图像特征的完整轨迹。我们在两个应用的背景下展示我们的结果,夜间户外监视和车辆前灯系统的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alignment of videos recorded from moving vehicles
We address the synchronization of a pair of video sequences captured from moving vehicles and the spatial registration of all the temporally corresponding frames. This is necessary in order to perform the pixel wise comparison of a pair of videos. The novelty of our method is that is free from three common restrictions of most previous works. First, it does not require that the two cameras be rigidly fixed to each other, since they can move independently. Second, the temporal correspondence does not assume a linear mapping. Third, it does not rely on the complete trajectories of image features. We present our results in the context of two applications, outdoor surveillance at night and the comparison of vehicle headlights systems.
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
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