Automatic Basketball Formation Recognition

Authors

Presenter(s)

Saivedant Hava

Comments

Presentation: 3:00-4:15, Kennedy Union Ballroom

Files

Description

In this research work, we aim to develop an Automatic Basketball Formation Recognition system utilizing video analysis techniques. Through computer vision and machine learning, the system identifies and categorizes basketball formations observed in game footage. This enables coaches and analysts to gain valuable insights into team strategies and player positioning. The system's effectiveness offers a practical tool for enhancing basketball match analysis and strategic planning.

Publication Date

4-17-2024

Project Designation

Graduate Research

Primary Advisor

Van Tam Nguyen

Primary Advisor's Department

Computer Science

Keywords

Stander Symposium, College of Arts and Sciences

Recommended Citation

"Automatic Basketball Formation Recognition" (2024). Stander Symposium Projects. 3580.
https://ecommons.udayton.edu/stander_posters/3580