Challenges and Future of Computer Vision in Basketball Analysis

The chapter delves into the challenges of using computer vision for basketball analysis, focusing on issues like isolating specific events in the game and understanding trade-offs in player behavior. It highlights the importance of shooting arc in basketball and explores how data engineering plays a crucial role in providing insights beyond efficiency. The conversation touches on the potential use of sensors in sports like football and emphasizes the significance of improving metrics like fastball velocity in professional sports.