3D Tracker-Level Fusion for Robust RGB-D Tracking
文献类型：期刊论文
| 作者 | An, Ning1,2 ; Zhao, Xiao-Guang1,2; Hou, Zeng-Guang1,2
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| 刊名 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
 |
| 出版日期 | 2017-08-01 |
| 卷号 | E100D期号:8页码:1870-1881 |
| 关键词 | Rgb-d Tracking Data Fusion 3d Object Tracking Online Video Processing |
| DOI | 10.1587/transinf.2016EDP7498 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | OBJECT TRACKING ; VISUAL TRACKING ; BENCHMARK ; MODEL |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000406868400036 |
| 资助机构 | National Natural Science Foundation of China(61271432 ; 61673378 ; 61421004) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19942]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：自动化研究所
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