10场大学足球赛全景4K视频，助力精准追踪与战术分析
SoccerTrack v2: A Full-Pitch Multi-View Soccer Dataset for Game State Reconstruction
- 10段全画幅4K视频，覆盖整片球场，确保球员无遮挡
- 每场比赛标注25种动作，含传球、射门等12类球动
- 专为比赛状态重建设计，适合计算机视觉与体育分析研究
SoccerTrack v2 是一个新发布的公开数据集，旨在推动多目标追踪（MOT）、比赛状态重建（GSR）和球动识别（BAS）在足球分析中的发展。与以往依赖转播视角或有限场景的数据集不同，SoccerTrack v2 提供了10场完整长度的全景4K录像，由BePro相机拍摄，实现球员全程可视。每段视频均标注了比赛状态标签（2D场地坐标、基于球衣编号的球员身份、角色、所属球队）以及12类球动标签（如传球、带球、射门）。本技术报告详述了数据集结构、采集流程与标注方法。SoccerTrack v2 旨在推动计算机视觉与足球分析研究，支持新基准测试及战术分析自动化工具的应用。
原文摘要 · Abstract (English)
SoccerTrack v2 is a new public dataset for advancing multi-object tracking (MOT), game state reconstruction (GSR), and ball action spotting (BAS) in soccer analytics. Unlike prior datasets that use broadcast views or limited scenarios, SoccerTrack v2 provides 10 full-length, panoramic 4K recordings of university-level matches, captured with BePro cameras for complete player visibility. Each video is annotated with GSR labels (2D pitch coordinates, jersey-based player IDs, roles, teams) and BAS labels for 12 action classes (e.g., Pass, Drive, Shot). This technical report outlines the datasets structure, collection pipeline, and annotation process. SoccerTrack v2 is designed to advance research in computer vision and soccer analytics, enabling new benchmarks and practical applications in tactical analysis and automated tools.
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