Automatic Tracking, Localization and Orientation of Hockey Players, Using Broadcast Videos

Automatic analysis of sport videos is an attractive research area in computer vision that is driving the sport analytics towards a more technological edge. By automatically analyzing sport videos, lots of information could be drawn that benefits the teams, coaches, referees, players and even the fans, such as: extracting strategy of the game, technique and performance of each individual player, performance of the referee in a competition, and etc. This area of research, although attracted many researchers in computer vision community, is still in its infancy. This project focuses on automatic analysis of the broadcast hockey videos. Explicitly, in this project, as the initial step towards higher level analysis of the hockey games, precise tracking and localization of the players on the ice-rink will be performed and the body orientation of the players will be determined, using the advanced machine learning and computer vision techniques.

Faculty Supervisor:

David Clausi

Student:

Christopher Dulhanty

Partner:

Stathletes

Discipline:

Engineering - other

Sector:

Information and communications technologies

University:

Program: