UAV target tracking algorithm based on event camera(基于事件相机的无人机目标跟踪算法)

无人机目标跟踪可应用于消防、军事等重要领域,已成为计算机视觉领域热门研究课题之一。现有的无人机目标跟踪算法大多基于传统RGB相机结合深度学习算法,但此类算法一方面无法避免无人机机体抖动造成的运动模糊,另一方面因传统RGB相机在低光照或过曝光场景下成像质量较差,难以跟踪目标,为此提出采用无人机搭载DAVIS事件相机的方法进行目标跟踪。设计了基于事件与灰度图的双模态融合跟踪网络,用Vicon运动捕捉系统制作了无人机视角下的目标跟踪Event-APS 28数据集,实现了在复杂光照场景下对目标物的有效跟踪。...

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Main Authors: ZHUQiang(朱强), WANGChaoyi(王超毅), ZHANGJiqing(张吉庆), YINBaocai(尹宝才), WEIXiaopeng(魏小鹏), YANGXin(杨鑫)
Format: Article
Language:zho
Published: Zhejiang University Press 2022-01-01
Series:Zhejiang Daxue xuebao. Lixue ban
Subjects:
Online Access:https://doi.org/10.3785/j.issn.1008-9497.2022.01.002
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author ZHUQiang(朱强)
WANGChaoyi(王超毅)
ZHANGJiqing(张吉庆)
YINBaocai(尹宝才)
WEIXiaopeng(魏小鹏)
YANGXin(杨鑫)
author_facet ZHUQiang(朱强)
WANGChaoyi(王超毅)
ZHANGJiqing(张吉庆)
YINBaocai(尹宝才)
WEIXiaopeng(魏小鹏)
YANGXin(杨鑫)
author_sort ZHUQiang(朱强)
collection DOAJ
description 无人机目标跟踪可应用于消防、军事等重要领域,已成为计算机视觉领域热门研究课题之一。现有的无人机目标跟踪算法大多基于传统RGB相机结合深度学习算法,但此类算法一方面无法避免无人机机体抖动造成的运动模糊,另一方面因传统RGB相机在低光照或过曝光场景下成像质量较差,难以跟踪目标,为此提出采用无人机搭载DAVIS事件相机的方法进行目标跟踪。设计了基于事件与灰度图的双模态融合跟踪网络,用Vicon运动捕捉系统制作了无人机视角下的目标跟踪Event-APS 28数据集,实现了在复杂光照场景下对目标物的有效跟踪。
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spelling doaj.art-79f5fc8c312a4f018398bd0eeda62bd02024-03-29T01:58:40ZzhoZhejiang University PressZhejiang Daxue xuebao. Lixue ban1008-94972022-01-01491101810.3785/j.issn.1008-9497.2022.01.002UAV target tracking algorithm based on event camera(基于事件相机的无人机目标跟踪算法)ZHUQiang(朱强)0https://orcid.org/0000-0001-8014-3236WANGChaoyi(王超毅)1ZHANGJiqing(张吉庆)2YINBaocai(尹宝才)3WEIXiaopeng(魏小鹏)https://orcid.org/0000-0002-8497-611XYANGXin(杨鑫)https://orcid.org/0000-0002-8046-722XSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116000, China(大连理工大学 计算机科学与技术学院,辽宁 大连 116000)School of Computer Science and Technology, Dalian University of Technology, Dalian 116000, China(大连理工大学 计算机科学与技术学院,辽宁 大连 116000)School of Computer Science and Technology, Dalian University of Technology, Dalian 116000, China(大连理工大学 计算机科学与技术学院,辽宁 大连 116000)School of Computer Science and Technology, Dalian University of Technology, Dalian 116000, China(大连理工大学 计算机科学与技术学院,辽宁 大连 116000)无人机目标跟踪可应用于消防、军事等重要领域,已成为计算机视觉领域热门研究课题之一。现有的无人机目标跟踪算法大多基于传统RGB相机结合深度学习算法,但此类算法一方面无法避免无人机机体抖动造成的运动模糊,另一方面因传统RGB相机在低光照或过曝光场景下成像质量较差,难以跟踪目标,为此提出采用无人机搭载DAVIS事件相机的方法进行目标跟踪。设计了基于事件与灰度图的双模态融合跟踪网络,用Vicon运动捕捉系统制作了无人机视角下的目标跟踪Event-APS 28数据集,实现了在复杂光照场景下对目标物的有效跟踪。https://doi.org/10.3785/j.issn.1008-9497.2022.01.002目标跟踪事件相机双模态融合跟踪网络
spellingShingle ZHUQiang(朱强)
WANGChaoyi(王超毅)
ZHANGJiqing(张吉庆)
YINBaocai(尹宝才)
WEIXiaopeng(魏小鹏)
YANGXin(杨鑫)
UAV target tracking algorithm based on event camera(基于事件相机的无人机目标跟踪算法)
Zhejiang Daxue xuebao. Lixue ban
目标跟踪
事件相机
双模态融合跟踪网络
title UAV target tracking algorithm based on event camera(基于事件相机的无人机目标跟踪算法)
title_full UAV target tracking algorithm based on event camera(基于事件相机的无人机目标跟踪算法)
title_fullStr UAV target tracking algorithm based on event camera(基于事件相机的无人机目标跟踪算法)
title_full_unstemmed UAV target tracking algorithm based on event camera(基于事件相机的无人机目标跟踪算法)
title_short UAV target tracking algorithm based on event camera(基于事件相机的无人机目标跟踪算法)
title_sort uav target tracking algorithm based on event camera 基于事件相机的无人机目标跟踪算法
topic 目标跟踪
事件相机
双模态融合跟踪网络
url https://doi.org/10.3785/j.issn.1008-9497.2022.01.002
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