Real time video stabilization methods in IR domain for UAVs — A review

Adeel Yousaf, K. Khurshid, Muhammad Jaleed Khan, M. Hanif
{"title":"Real time video stabilization methods in IR domain for UAVs — A review","authors":"Adeel Yousaf, K. Khurshid, Muhammad Jaleed Khan, M. Hanif","doi":"10.1109/ICASE.2017.8374287","DOIUrl":null,"url":null,"abstract":"In applications that involve a camera attached to a moving platform, such as UAV, Car, Drones etc., mechanical vibrations of the moving platform cause undesired shaking motion in videos known as Video Jittering. This causes severe performance degradation in applications such as object detection and tracking for applications such as surveillance and remote sensing. Video stabilization is required as preprocessing step to remove undesired motion while preserving the desired ones. Video Stabilization is an active research area for past decade and most of work done is on offline methods for stabilizing video in visible range. However stabilizing Infrared videos and that too for real time applications is still an open research area. This is because of the difficulty in detecting and tracking good features in IR videos due to lower resolution/quality videos. In this paper various existing methods provided in literature are compared in detail to focus on method that is more feasible for real time IR stabilization implementation.","PeriodicalId":203936,"journal":{"name":"2017 Fifth International Conference on Aerospace Science & Engineering (ICASE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Fifth International Conference on Aerospace Science & Engineering (ICASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASE.2017.8374287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In applications that involve a camera attached to a moving platform, such as UAV, Car, Drones etc., mechanical vibrations of the moving platform cause undesired shaking motion in videos known as Video Jittering. This causes severe performance degradation in applications such as object detection and tracking for applications such as surveillance and remote sensing. Video stabilization is required as preprocessing step to remove undesired motion while preserving the desired ones. Video Stabilization is an active research area for past decade and most of work done is on offline methods for stabilizing video in visible range. However stabilizing Infrared videos and that too for real time applications is still an open research area. This is because of the difficulty in detecting and tracking good features in IR videos due to lower resolution/quality videos. In this paper various existing methods provided in literature are compared in detail to focus on method that is more feasible for real time IR stabilization implementation.
无人机红外域实时视频稳定方法综述
在涉及摄像机连接到移动平台的应用中,如无人机,汽车,无人驾驶飞机等,移动平台的机械振动会在视频中引起不希望的抖动运动,称为视频抖动。这将导致诸如监视和遥感等应用的对象检测和跟踪等应用的严重性能下降。视频稳定需要作为预处理步骤,以消除不希望的运动,同时保留所需的。视频稳定是近十年来一个活跃的研究领域,所做的大部分工作都是在可见光范围内实现视频稳定的离线方法。然而,稳定红外视频和实时应用仍然是一个开放的研究领域。这是因为由于低分辨率/质量的视频,在红外视频中很难检测和跟踪好的特征。本文对现有文献中提供的各种方法进行了详细的比较,重点讨论了更可行的实时红外稳定实现方法。
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