Academics / Courses / DescriptionsCOMP_SCI 396, 496: Exploration in Sports Video Analytics
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Prerequisites
Instructor consentDescription
Video analytics is a core component of sports development. Athletes, coaches, and trainers routinely spend hours per week analyzing their individual performance and to better prepare for upcoming opponents. Many of the approaches used in sports video analytics are closely tied to interaction analysis, a foundational tool in the Learning Sciences that is used to breakdown and interpret the nuances of human-human and human-object interaction. In this class we will utilize and develop frameworks for systematically approaching analysis of sports video. Students will use a combination of industry standard and custom video annotation tools that allow them to operationalize core ideas from interaction analysis in the context of sports. Alongside utilization of interaction analysis, students will also learn about and implement computer vision techniques that can be used to automatically annotate sports videos. These annotations might serve to produce comma separated values (csv) files can be analyzed using R, Python, and Matlab.
- This course fulfills the Technical Elective area.
REFERENCE TEXTBOOKS: N/A
REQUIRED TEXTBOOK: N/A
RECOMMENDED TEXTBOOK: N/A
COURSE COORDINATORS: Prof. Marcelo Worsley
COURSE INSTRUCTOR: Prof. Marcelo Worsley