Towards Real-Time Analysis of Broadcast Badminton Videos

TL;DR

This paper presents a real-time, vision-based framework for analyzing player movements in live badminton broadcast videos, enabling distance and speed calculations without additional sensors.

Contribution

It introduces an end-to-end visual analysis method for live badminton videos, removing the need for multi-modal sensor data and enabling real-time player movement tracking.

Findings

Successfully analyzed live matches during PBL 2019

Provided real-time distance and speed metrics

Generated heatmaps of player coverage

Abstract

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.