Automatic target locating system through cooperative dual-field imaging

Kun Huang, Yuqing He, Boyan Hou, Shan Wei, Siyuan Wang
{"title":"Automatic target locating system through cooperative dual-field imaging","authors":"Kun Huang, Yuqing He, Boyan Hou, Shan Wei, Siyuan Wang","doi":"10.1117/12.2182248","DOIUrl":null,"url":null,"abstract":"This paper proposes an automatic targeting locating system based on dual-field imaging to improve the stability of light weapons. The system consists of a wide field of view (WFOV) camera and a narrow field of view (NFOV) camera. The WFOV camera searches the pedestrian in the scenery, the other camera tracks the pedestrian and aims it accurately. Video signal is send to the processing unit PC and control signal is send back to the imaging system. This automatic target tracking algorithm is integrated by Adaboost and Median-Flow algorithm. It is used to track the pedestrians and locate the head of the target. Experiment results show that the dual-field imaging system and proposed algorithm has robust target tracking performance.","PeriodicalId":225534,"journal":{"name":"Photoelectronic Technology Committee Conferences","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photoelectronic Technology Committee Conferences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2182248","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

This paper proposes an automatic targeting locating system based on dual-field imaging to improve the stability of light weapons. The system consists of a wide field of view (WFOV) camera and a narrow field of view (NFOV) camera. The WFOV camera searches the pedestrian in the scenery, the other camera tracks the pedestrian and aims it accurately. Video signal is send to the processing unit PC and control signal is send back to the imaging system. This automatic target tracking algorithm is integrated by Adaboost and Median-Flow algorithm. It is used to track the pedestrians and locate the head of the target. Experiment results show that the dual-field imaging system and proposed algorithm has robust target tracking performance.
双场协同成像自动目标定位系统
为了提高轻武器的稳定性,提出了一种基于双场成像的自动目标定位系统。该系统由一个宽视场(WFOV)摄像机和一个窄视场(NFOV)摄像机组成。WFOV摄像机在景物中搜索行人,另一个摄像机跟踪行人并精确瞄准。视频信号被发送到处理单元PC,控制信号被发送回成像系统。该自动目标跟踪算法由Adaboost和medium - flow算法集成而成。它用于跟踪行人并定位目标的头部。实验结果表明,该双视场成像系统和算法具有良好的目标跟踪性能。
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:604180095
Book学术官方微信
小红书