Automatic Tracking, Localization, and Action Recognition of Hockey Players, Using Broadcast Videos (Phase 2)

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 the computer vision community, is still in its infancy.

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.

Advanced analytics and predictive statistics in continuous flow sports.

Hockey has long been shown to be among the least predictable of all professional sports. Recent developments in data collection methods have created the demand for more detailed and advanced predictive modelling techniques to extract value from and apply the data to real world problems. This project focuses on predicting important outcomes in hockey at both team and player levels. Game winners and scores will be predicted using Bayesian approaches tailored to accommodate evaluative statistics and relevant pre-game factors.