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Automatic Estimation of Football Possession via Improved YOLOv8 Detection and DBSCAN-Based Team Classification.

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第一作者： Rong,Guo

第一单位： College of Big Data, Yunnan Agricultural University, Kunming 650201, China.;Center for Sports Intelligence Innovation and Application, Yunnan Agricultural University, Kunming 650201, China.;College of Physical Education, Yunnan Agricultural University, Kunming 650201, China.

作者： Rong,Guo ^[1] ; Yucheng,Zeng ^[2] ; Rong,Deng ^[3] ; Yawen,Lei ^[3] ; Yonglin,Che ^[2] ; Lin,Yu ^[3] ; Jianpeng,Zhang ^[4] ; Xiaobin,Xu ^[4] ; Zhaoxiang,Ma ^[2] ; Jiajin,Zhang ^[2] ; Jianke,Yang ^[5]

作者单位： College of Big Data, Yunnan Agricultural University, Kunming 650201, China.;Center for Sports Intelligence Innovation and Application, Yunnan Agricultural University, Kunming 650201, China.;College of Physical Education, Yunnan Agricultural University, Kunming 650201, China. ^[1] College of Big Data, Yunnan Agricultural University, Kunming 650201, China.;Center for Sports Intelligence Innovation and Application, Yunnan Agricultural University, Kunming 650201, China. ^[2] College of Big Data, Yunnan Agricultural University, Kunming 650201, China. ^[3] College of Physical Education, Yunnan Agricultural University, Kunming 650201, China. ^[4] Center for Sports Intelligence Innovation and Application, Yunnan Agricultural University, Kunming 650201, China.;College of Physical Education, Yunnan Agricultural University, Kunming 650201, China. ^[5]

关键词 DBSCAN YOLOv8 automation computer vision football possession

医学主题词人类(Humans);算法(Algorithms);录像(Video Recording);足球(Soccer);美式足球(Football)

DOI 10.3390/s26041252

PMID 41755200

发布时间 2026-03-05

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准确一般字义偏差语意偏离译文作用小提交