Abstract
Computer vision in sports analytics is a relatively new development. With multi-million dollar systems like STATS’s SportVu, professional basketball teams are able to collect extremely fine-detailed data better than ever before. This concept can be scaled down to provide similar statistics collection to college and high school basketball teams. Here we investigate the creation of such a system using open-source technologies and less expensive hardware. In addition, using a similar technology, we examine basketball free throws to see whether a shooter’s form has a specific relationship to a shot’s outcome. A system that learns this relationship could be used to provide feedback on a player’s shooting form.
Advisor
Pasteur, Drew
Second Advisor
Visa, Sofia
Department
Computer Science; Mathematics
Recommended Citation
Jeffries, Colby T., "Sports Analytics With Computer Vision" (2018). Senior Independent Study Theses. Paper 8103.
https://openworks.wooster.edu/independentstudy/8103
Disciplines
Artificial Intelligence and Robotics | Numerical Analysis and Scientific Computing | Other Applied Mathematics | Other Computer Sciences | Other Mathematics
Keywords
Computer Vision, Sports Analytics, Pose Estimation, Machine Learning, Basketball, Optical Tracking
Publication Date
2018
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis Exemplar
Included in
Artificial Intelligence and Robotics Commons, Numerical Analysis and Scientific Computing Commons, Other Applied Mathematics Commons, Other Computer Sciences Commons, Other Mathematics Commons
© Copyright 2018 Colby T. Jeffries