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A survey on soccer player detection and tracking with videos

文献类型：期刊论文

作者Yang, Chao1; Yang, Meng1,2; Li, Hongyu1; Jiang, Linlu1; Suo, Xiang3; Mao, Lijuan3; Meng, Weiliang4; Li, Zhen3
刊名VISUAL COMPUTER
出版日期2024-04-08
页码15
关键词Detection Multi-object tracking Soccer player tracking
ISSN号0178-2789
DOI10.1007/s00371-024-03367-6
通讯作者Yang, Meng(yangmeng@bjfu.edu.cn) ; Li, Zhen(lizhen@sus.edu.cn)
英文摘要Soccer is a popular sport, and there is a growing need for automated analysis of soccer videos, while the detection and tracking of the players is the indispensable prerequisite. In this paper, we first introduce and classify multi-object tracking and then present two mostly used multi-object tracking methods, DeepSort and TrackFormer. When multi-object tracking is applied to soccer scenarios, some preprocessing and post-processing are generally performed, with preprocessing including processing of the video, such as splicing and background removing, and post-processing including further applications, such as player mapping for a 2D stadium. By directly employing the two methods above, we test the real scene and train TrackFormer to get further results. Meanwhile, in order to facilitate researchers who are interested in multi-object tracking as well as in the direction of player tracking, recent advances in preprocessing and processing methods for soccer player tracking are given and future research directions are suggested.
WOS关键词MEAN SHIFT ; CAMERA ; SYSTEM
资助项目National Natural Science Foundation of China ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University[VRLAB2023B01] ; [62077037] ; [62376231,62365014] ; [U22B2034] ; [62262043] ; [62171321] ; [62162044] ; [62162414]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001198420700001
出版者SPRINGER
资助机构National Natural Science Foundation of China ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University
源URL[http://ir.ia.ac.cn/handle/173211/58246]  
专题模式识别国家重点实验室_三维可视计算
通讯作者Yang, Meng; Li, Zhen
作者单位1.Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing, Peoples R China
2.Natl Forestry & Grassland Adm, Engn Res Ctr Forestry Oriented Intelligent Proc, Beijing 100083, Peoples R China
3.Shanghai Univ Sport, Sch Phys Educ, Shanghai, Peoples R China
4.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Chao,Yang, Meng,Li, Hongyu,et al. A survey on soccer player detection and tracking with videos[J]. VISUAL COMPUTER,2024:15.
APA Yang, Chao.,Yang, Meng.,Li, Hongyu.,Jiang, Linlu.,Suo, Xiang.,...&Li, Zhen.(2024).A survey on soccer player detection and tracking with videos.VISUAL COMPUTER,15.
MLA Yang, Chao,et al."A survey on soccer player detection and tracking with videos".VISUAL COMPUTER (2024):15.

入库方式： OAI收割

来源：自动化研究所

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