SoccerNet 2024发布四大足球视频理解挑战，推动比赛分析技术发展。
SoccerNet 2024 Challenges Results
- 设计四类视觉任务，覆盖球动识别、视频描述、多视角犯规判断和比赛状态重建。
- 引入多视角犯规识别与2D场地图重构新任务，提升复杂场景理解能力。
- 适合关注体育视频分析、计算机视觉与多模态理解的研究者参考。
SoccerNet 2024挑战赛是SoccerNet团队举办的第四届年度视频理解挑战。该系列挑战旨在推动足球领域多个方向的研究，包括广播视频理解、场地理解与球员理解。今年共设四项基于视觉的任务：(1) 球动作定位，精确识别球相关动作发生的时间与类型；(2) 密集视频字幕生成，以自然语言描述广播内容并附带时间戳；(3) 多视角犯规识别，通过多视角分析潜在犯规事件，判断是否发生犯规及严重程度；(4) 比赛状态重建，从广播视频中重建2D顶视图下的比赛状态。各任务详情、挑战规则与排行榜可访问 https://www.soccer-net.org，基准模型与开发工具包见 https://github.com/SoccerNet。
原文摘要 · Abstract (English)
The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple themes in football, including broadcast video understanding, field understanding, and player understanding. This year, the challenges encompass four vision-based tasks. (1) Ball Action Spotting, focusing on precisely localizing when and which soccer actions related to the ball occur, (2) Dense Video Captioning, focusing on describing the broadcast with natural language and anchored timestamps, (3) Multi-View Foul Recognition, a novel task focusing on analyzing multiple viewpoints of a potential foul incident to classify whether a foul occurred and assess its severity, (4) Game State Reconstruction, another novel task focusing on reconstructing the game state from broadcast videos onto a 2D top-view map of the field. Detailed information about the tasks, challenges, and leaderboards can be found at https://www.soccer-net.org, with baselines and development kits available at https://github.com/SoccerNet.
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