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Towards Real-Time Analysis of Broadcast Badminton Videos

arXiv 2308.12199 ↗First posted 23 Aug 2023cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 30 references that are in the map. First posted on arXiv 23 Aug 2023.

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7 of 30 references.

References · 7

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2018YOLOv3: An Incremental Improvementcited by 2,652
  3. 2018SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videoscited by 148
  4. 2016Learning to Track at 100 FPS with Deep Regression Networkscited by 89
  5. 2015What Players do with the Ball: A Physically Constrained Interaction Modelingcited by 17
  6. 2017Towards Structured Analysis of Broadcast Badminton Videoscited by 15
  7. 2018SmartTennisTV: Automatic indexing of tennis videoscited by 1

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