Global Instance Tracking: Locating Target More Like Humans
文献类型：期刊论文
| 作者 | Hu, Shiyu5,6 ; Zhao, Xin2,5; Huang, Lianghua5; Huang, Kaiqi1,2,3,4,5
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| 刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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| 出版日期 | 2023 |
| 卷号 | 45期号:1页码:576-592 |
| 关键词 | Global instance tracking single object tracking benchmark dataset performance evaluation human tracking ability |
| ISSN号 | 0162-8828 |
| DOI | 10.1109/TPAMI.2022.3153312 |
| 通讯作者 | Zhao, Xin(xzhao@nlpr.ia.ac.cn) |
| 英文摘要 | Target tracking, the essential ability of the human visual system, has been simulated by computer vision tasks. However, existing trackers perform well in austere experimental environments but fail in challenges like occlusion and fast motion. The massive gap indicates that researches only measure tracking performance rather than intelligence. How to scientifically judge the intelligence level of trackers? Distinct from decision-making problems, lacking three requirements (a challenging task, a fair environment, and a scientific evaluation procedure) makes it strenuous to answer the question. In this article, we first propose the global instance tracking (GIT) task, which is supposed to search an arbitrary user-specified instance in a video without any assumptions about camera or motion consistency, to model the human visual tracking ability. Whereafter, we construct a high-quality and large-scale benchmark VideoCube to create a challenging environment. Finally, we design a scientific evaluation procedure using human capabilities as the baseline to judge tracking intelligence. Additionally, we provide an online platform with toolkit and an updated leaderboard. Although the experimental results indicate a definite gap between trackers and humans, we expect to take a step forward to generate authentic human-like trackers. The database, toolkit, evaluation server, and baseline results are available at http://videocube.aitestunion.com. |
| WOS关键词 | OBJECT TRACKING |
| 资助项目 | National Natural Science Foundation of China[61721004] ; National Natural Science Foundation of China[61876181] ; Projects of Chinese Academy of Science[QYZDB-SSW-JSC006] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA27000000] ; Youth Innovation Promotion Association CAS |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000899419900035 |
| 出版者 | IEEE COMPUTER SOC |
| 资助机构 | National Natural Science Foundation of China ; Projects of Chinese Academy of Science ; Strategic Priority Research Program of Chinese Academy of Sciences ; Youth Innovation Promotion Association CAS |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51096]  |
| 专题 | 复杂系统认知与决策实验室 |
| 通讯作者 | Zhao, Xin |
| 作者单位 | 1.CAS Ctr Excellence Brain Sci & Intelligence Techno, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automation, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Ctr Res Intelligent Syst & Engn, Beijing 100190, Peoples R China 5.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Syst & Engn, Beijing 100190, Peoples R China 6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Shiyu,Zhao, Xin,Huang, Lianghua,et al. Global Instance Tracking: Locating Target More Like Humans[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2023,45(1):576-592. |
| APA | Hu, Shiyu,Zhao, Xin,Huang, Lianghua,&Huang, Kaiqi.(2023).Global Instance Tracking: Locating Target More Like Humans.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,45(1),576-592. |
| MLA | Hu, Shiyu,et al."Global Instance Tracking: Locating Target More Like Humans".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 45.1(2023):576-592. |
入库方式： OAI收割
来源：自动化研究所
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