Dr. Maria Koshkina

October 24th, 2025 – 1:00-2:00pm, EC4-2101A

Automatic understanding of sports video can transform how we analyze games, coach athletes, and engage viewers. This talk presents a framework for reliable player identification and tracking in team sports, where athletes often look alike and jersey numbers are only intermittently visible. I will describe three components: a self-supervised method for classifying team affiliation, a robust jersey number recognition pipeline, and a graph-based tracker that integrates these identity cues for long-term player tracking.