Sport Analysis

Sports analysis leverages computer vision and natural language processing to extract meaningful insights from game footage and commentary, aiming to improve player performance, coaching strategies, and fan engagement. Current research focuses on developing robust methods for player tracking and pose estimation using neural networks, often incorporating multi-modal sensor data and addressing challenges like real-time processing and accurate 3D reconstruction from 2D video. These advancements enable quantitative analysis of player movements, event recognition, and the creation of immersive VR/AR viewing experiences, significantly impacting coaching, training, and broadcasting.