Video Performance Analytics from World-Wide Hockey Feeds - ON-176

Preferred Disciplines: Computer Software (Masters, PhD or Post-Doc)
Company: Anonymous
Project Length: 8-18 months (2-3 units)
Desired start date: As soon as possible
Location: St. Catherine’s, ON
No. of Positions: 1-3
Preferences: None

About the Company: 

We complete performance analytics and perform deep dives into data from professional hockey video feeds.

Project Description:

We collect data from world-wide hockey league feeds, including NHL teams. The company wants to automate aspects of analyzing this video data - at minimum XY coordinates of players and the puck, and shift times (tracking when certain players are on the ice).

Research Objectives:

  • XY coordinates of puck
  • XY coordinates of every player
  • Calculate shift time based on XY
  • Other performance metrics

Methodology:

  • To be determined

Expertise and Skills Needed:

  • Computer vision, machine learning
  • Python, C++

For more info or to apply to this applied research position, please

  1. Check your eligibility and find more information about open projects
  2. Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform.
Program: