Knowledge Commons of Institute of Automation,CAS
Soccer Match Broadcast Video Analysis Method Based on Detection and Tracking | |
Li HY(李红雨)1; Yang M(杨猛)1,2; Yang C(杨超)1; Kang JL(康江浪)1; Xiang Suo3; Meng WL(孟维亮)4,5; Zhen Li3; Lijuan Mao3; Bin Sheng6; Jun Qi7 | |
发表期刊 | Computer Animation and Virtual Worlds |
2024 | |
卷号 | 35期号:3页码:1-17 |
摘要 | We propose a comprehensive soccer match video analysis pipeline tailored for broadcast footage, which encompasses three pivotal stages: soccer field localization, player tracking, and soccer ball detection. Firstly, we introduce sports camera calibration to seamlessly map soccer field images from match videos onto a standardized two-dimensional soccer field template. This addresses the challenge of consistent analysis across video frames amid continuous camera angle changes. Secondly, given challenges such as occlusions, high-speed movements, and dynamic camera perspectives, obtaining accurate position data for players and the soccer ball is non-trivial. To mitigate this, we curate a large-scale, high-precision soccer ball detection dataset and devise a robust detectionmodel, which achieved the mAP50−95 of 80.9%. Additionally, we develop a high-speed, efficient, and lightweight tracking model to ensure precise player tracking. Through the integration of these modules, our pipeline focuses on real-time analysis of the current camera lens content during matches, facilitating rapid and accurate computation and analysis while offering intuitive visualizations. |
语种 | 英语 |
WOS记录号 | WOS:001233750100001 |
七大方向——子方向分类 | 图像视频处理与分析 |
国重实验室规划方向分类 | 环境多维感知 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57164 |
专题 | 多模态人工智能系统全国重点实验室_三维可视计算 |
通讯作者 | Li HY(李红雨); Yang C(杨超); Lijuan Mao |
作者单位 | 1.School of Information science and Technology, Beijing Forestry University, Beijing, China 2.Engineering Research Center for Forestry-Oriented Intelligent Information Processing, National Forestry and Grassland Administration, Beijing, China 3.School ofAthletic Performance, Shanghai University of Sport, Shanghai, China 4.State Key Laboratory ofMultimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 5.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 6.Department of Computer Science and Engineering, Shanghai Jiao Tong Univerity, Shanghai, China 7.Department of Computing, Xi’an JiaoTong-Liverpool University, Suzhou, China |
推荐引用方式 GB/T 7714 | Li HY,Yang M,Yang C,et al. Soccer Match Broadcast Video Analysis Method Based on Detection and Tracking[J]. Computer Animation and Virtual Worlds,2024,35(3):1-17. |
APA | Li HY.,Yang M.,Yang C.,Kang JL.,Xiang Suo.,...&Jun Qi.(2024).Soccer Match Broadcast Video Analysis Method Based on Detection and Tracking.Computer Animation and Virtual Worlds,35(3),1-17. |
MLA | Li HY,et al."Soccer Match Broadcast Video Analysis Method Based on Detection and Tracking".Computer Animation and Virtual Worlds 35.3(2024):1-17. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Computer Animation (5439KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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