UAV 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); WANGChaoyi(王超毅); ZHANGJiqing(张吉庆); YINBaocai(尹宝才); WEIXiaopeng(魏小鹏); YANGXin(杨鑫)

doi:10.3785/j.issn.1008-9497.2022.01.002

Zhejiang Daxue xuebao. Lixue ban (Jan 2022)

UAV 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),
WANGChaoyi(王超毅),
ZHANGJiqing(张吉庆),
YINBaocai(尹宝才),
WEIXiaopeng(魏小鹏),
YANGXin(杨鑫)

Affiliations

ZHUQiang(朱强): ORCiD; 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)
WANGChaoyi(王超毅): 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)
ZHANGJiqing(张吉庆): 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)
YINBaocai(尹宝才): 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)
WEIXiaopeng(魏小鹏): ORCiD
YANGXin(杨鑫): ORCiD

DOI: https://doi.org/10.3785/j.issn.1008-9497.2022.01.002
Journal volume & issue: Vol. 49, no. 1
pp. 10 – 18

Abstract

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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。

Published in Zhejiang Daxue xuebao. Lixue ban

ISSN: 1008-9497 (Print)
Publisher: Zhejiang University Press
Country of publisher: China
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science; Science: Physics
Website: https://www.zjujournals.com/sci/EN/1008-9497/home.shtml

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