A team of students, guided by computer vision lab researchers and the coaching staff of Duke Women’s Basketball, is set to create a suite of tools designed to automatically analyze gameplay from video clips using computer vision techniques. They will construct a computer vision application capable of pinpointing players’ positions on the basketball court. These coordinates will then feed into a machine-learning model to recognize specific plays. The resulting tool will serve as a strategic asset for Duke Women’s Basketball in scouting opponents and refining their play strategies.
Project Lead: Juan Matias Di Martino
Project Manager: Young Kyung Kim
