标题:UAV Target Tracking with A Boundary-Decision Network
作者:Song, Ke; Zhang, Wei; Rong, Xuewen
通讯作者:Zhang, W
作者机构:[Song, Ke; Zhang, Wei; Rong, Xuewen] Shandong Univ, Sch Control Sci & Engn, Jinan, Shandong, Peoples R China.
会议名称:24th International Conference on Pattern Recognition (ICPR)
会议日期:AUG 20-24, 2018
来源:2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
出版年:2018
页码:2576-2581
摘要:The aspect ratio of a target changes frequently during UAV tracking task, which makes the aerial tracking very challenging. Traditional trackers struggle from such problem as they mainly focus on the scale variation issue by maintaining a certain aspect ratio. In this paper, we propose a novel tracker, named boundary-decision network (BDNet), to address the aspect ratio variation in UAV tracking. Unlike previous work, the proposed method aims at operating each boundary separately with a policy network. Given an initial estimate of the bounding box, a sequential actions are generated to tune the four boundaries with an optimization strategy including boundary proposal rejection, offline and online learning. Experimental results on the benchmark aerial dataset prove that the proposed approach outperforms existing trackers and produces significant accuracy gains in dealing with the aspect ratio variation in UAV tracking.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053697131&doi=10.1109%2fICPR.2018.8545872&partnerID=40&md5=faf2425cc36fd41988e0c4c267dd29c1
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