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Multiple object tracking: A literature review
文献类型：期刊论文
| 作者 | Luo, Wenhan4,5; Xing, Junliang1,3 ; Milan, Anton6; Zhang, Xiaoqin2; Liu, Wei5; Kim, Tae-Kyun4
|
| 刊名 | ARTIFICIAL INTELLIGENCE
 |
| 出版日期 | 2021-04-01 |
| 卷号 | 293页码:23 |
| 关键词 | Multi-object tracking Data association Survey |
| ISSN号 | 0004-3702 |
| DOI | 10.1016/j.artint.2020.103448 |
| 通讯作者 | Xing, Junliang(jlxing@nlpr.ia.ac.cn) |
| 英文摘要 | Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been proposed to tackle this problem, it still remains challenging due to factors like abrupt appearance changes and severe object occlusions. In this work, we contribute the first comprehensive and most recent review on this problem. We inspect the recent advances in various aspects and propose some interesting directions for future research. To the best of our knowledge, there has not been any extensive review on this topic in the community. We endeavor to provide a thorough review on the development of this problem in recent decades. The main contributions of this review are fourfold: 1) Key aspects in an MOT system, including formulation, categorization, key principles, evaluation of MOT are discussed; 2) Instead of enumerating individual works, we discuss existing approaches according to various aspects, in each of which methods are divided into different groups and each group is discussed in detail for the principles, advances and drawbacks; 3) We examine experiments of existing publications and summarize results on popular datasets to provide quantitative and comprehensive comparisons. By analyzing the results from different perspectives, we have verified some basic agreements in the field; and 4) We provide a discussion about issues of MOT research, as well as some interesting directions which will become potential research effort in the future. (C) 2021 Elsevier B.V. All rights reserved. |
| WOS关键词 | MULTITARGET TRACKING ; MULTIOBJECT TRACKING ; ASSOCIATION ; MODEL |
| 资助项目 | National Key Research and Development Program of China[2019AAA010340X] ; Natural Science Foundation of China[62076238] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA27000000] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000621632800004 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key Research and Development Program of China ; Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences |
| 源URL | [http://ir.ia.ac.cn/handle/173211/43314]  |
| 专题 | 智能系统与工程 |
| 通讯作者 | Xing, Junliang |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 2.Wenzhou Univ, Wenzhou, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 4.Imperial Coll London, London, England 5.Tencent AI Lab, Shenzhen, Peoples R China 6.Amazon Res & Dev Ctr, Berlin, Germany |
| 推荐引用方式 GB/T 7714 | Luo, Wenhan,Xing, Junliang,Milan, Anton,et al. Multiple object tracking: A literature review[J]. ARTIFICIAL INTELLIGENCE,2021,293:23. |
| APA | Luo, Wenhan,Xing, Junliang,Milan, Anton,Zhang, Xiaoqin,Liu, Wei,&Kim, Tae-Kyun.(2021).Multiple object tracking: A literature review.ARTIFICIAL INTELLIGENCE,293,23. |
| MLA | Luo, Wenhan,et al."Multiple object tracking: A literature review".ARTIFICIAL INTELLIGENCE 293(2021):23. |
入库方式： OAI收割
来源：自动化研究所
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