3D Tracker-Level Fusion for Robust RGB-D Tracking
An, Ning1,2; Zhao, Xiao-Guang1,2; Hou, Zeng-Guang1,2
2017-08-01
发表期刊IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
卷号E100D期号:8页码:1870-1881
文章类型Article
摘要In this study, we address the problem of online RGB-D tracking which confronted with various challenges caused by deformation, occlusion, background clutter, and abrupt motion. Various trackers have different strengths and weaknesses, and thus a single tracker can merely perform well in specific scenarios. We propose a 3D tracker-level fusion algorithm (TLF3D) which enhances the strengths of different trackers and suppresses their weaknesses to achieve robust tracking performance in various scenarios. The fusion result is generated from outputs of base trackers by optimizing an energy function considering both the 3D cube attraction and 3D trajectory smoothness. In addition, three complementary base RGB-D trackers with intrinsically different tracking components are proposed for the fusion algorithm. We perform extensive experiments on a large-scale RGB-D benchmark dataset. The evaluation results demonstrate the effectiveness of the proposed fusion algorithm and the superior performance of the proposed TLF3D tracker against state-of-the-art RGB-D trackers.
关键词Rgb-d Tracking Data Fusion 3d Object Tracking Online Video Processing
WOS标题词Science & Technology ; Technology
DOI10.1587/transinf.2016EDP7498
关键词[WOS]OBJECT TRACKING ; VISUAL TRACKING ; BENCHMARK ; MODEL
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61271432 ; 61673378 ; 61421004)
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号WOS:000406868400036
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/19942
专题复杂系统管理与控制国家重点实验室_先进机器人
作者单位1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
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An, Ning,Zhao, Xiao-Guang,Hou, Zeng-Guang. 3D Tracker-Level Fusion for Robust RGB-D Tracking[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2017,E100D(8):1870-1881.
APA An, Ning,Zhao, Xiao-Guang,&Hou, Zeng-Guang.(2017).3D Tracker-Level Fusion for Robust RGB-D Tracking.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E100D(8),1870-1881.
MLA An, Ning,et al."3D Tracker-Level Fusion for Robust RGB-D Tracking".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E100D.8(2017):1870-1881.
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