Analysis of player movements is a crucial subset of sports analysis. Existing player movement analysis methods use recorded videos after the match is over. In this work, we propose an end-to-end framework for player movement analysis for badminton matches on live broadcast match videos. We only use the visual inputs from the match and, unlike other approaches which use multi-modal sensor data, our approach uses only visual cues. We propose a method to calculate the on-court distance covered by both the players from the video feed of a live broadcast badminton match. To perform this analysis, we focus on the gameplay by removing replays and other redundant parts of the broadcast match. We then perform player tracking to identify and track the movements of both players in each frame. Finally, we calculate the distance covered by each player and the average speed with which they move on the court. We further show a heatmap of the areas covered by the player on the court which is useful for analyzing the gameplay of the player. Our proposed framework was successfully used to analyze live broadcast matches in real-time during the Premier Badminton League 2019 (PBL 2019), with commentators and broadcasters appreciating the utility.

翻译：运动员运动分析是体育分析中的重要组成部分。现有运动员运动分析方法主要利用赛后录制的视频进行研究。本文提出了一种端到端框架，用于对实时转播的羽毛球比赛视频进行运动员运动分析。与依赖多模态传感器数据的其他方法不同，本方法仅使用比赛视频中的视觉输入。我们提出了一种从实时转播羽毛球比赛视频中计算两名运动员场上覆盖距离的方法。为实现该分析，我们通过移除回放及其他冗余片段聚焦于比赛过程，随后执行运动员跟踪以识别并追踪每帧中两名运动员的运动轨迹。最终，我们计算每名运动员的覆盖距离及其在球场上的平均移动速度，并展示了运动员在球场上的活动区域热力图，该图有助于分析运动员的比赛策略。该框架已成功应用于2019年英超羽毛球联赛（PBL 2019）的实时转播比赛分析，获得了评论员和广播机构的高度认可。