Analyzing Basketball Plays Using Computer Vision 

2024

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

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Mathematics