TacSIm: 一场足球战术风格仿真的数据集和基准
TacSIm: A Dataset and Benchmark for Football Tactical Style Imitation
AI总结：
TacSIm通过模拟英超比赛中的球员动作，提供了一种评估足球战术风格仿真的新方法，利用空间占用相似性和运动向量相似性进行量化评估。
摘要：
当前足球模仿研究主要关注优化基于奖励的目标，如进球数或胜率代理，而较少关注准确复制现实中的球队战术行为。我们介绍了TacSIm，一个大规模的数据集和基准，用于足球战术风格模仿。TacSIm在给定的英超比赛转播 footage 下，模仿一支队伍中所有11名球员的动作，采用单一转播视角。在进攻或防守转播 footage 下，TacSIm将双方22名球员的起始位置和动作投影到标准球场坐标系统中。TacSIm提供了一个显式的风格模仿任务和评估协议。战术风格模仿通过定义时间内的空间占用相似性和运动向量相似性进行测量，支持对一支球队的空间和时间相似性的评估。我们在一个统一的虚拟环境中运行多种基线方法，生成完整的团队行为，使战术协调的定量和视觉评估成为可能。通过使用从转播到模拟的统一数据和指标，TacSIm建立了一个严格的标准，用于衡量和建模足球战术风格一致的模仿任务。
英文摘要：
Current football imitation research primarily aims to opti mize reward-based objectives, such as goals scored or win rate proxies, paying less attention to accurately replicat ing real-world team tactical behaviors. We introduce Tac SIm, a large-scale dataset and benchmark for Tactical Style Imitation in football. TacSIm imitates the acitons of all 11 players in one team in the given broadcast footage of Pre mier League matches under a single broadcast view. Under a offensive or defensive broadcast footage, TacSIm projects the beginning positions and actions of all 22 players from both sides onto a standard pitch coordinate system. Tac SIm offers an explicit style imitation task and evaluation protocols. Tactics style imitation is measured by using spatial occupancy similarity and movement vector similarity in defined time, supporting the evaluation of spatial and tem poral similarities for one team. We run multiple baseline methods in a unified virtual environment to generate full team behaviors, enabling both quantitative and visual as sessment of tactical coordination. By using unified data and metrics from broadcast to simulation, TacSIm estab lishes a rigorous benchmark for measuring and modeling style-aligned tactical imitation task in football.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
