Computational Video for Sports: Challenges for Large Scale Data Analysis

author: Irfan Essa, College of Computing, Georgia Institute of Technology
published: Oct. 12, 2016,   recorded: August 2016,   views: 1087

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


Video technologies have had a huge impact on sports. Most professional sports events are captured in video, are broadcast and are consumed by many. Video is also becoming a sensor used to measure and analyze athletic performances, overall games, and commonly used as an aide for judging calls made on the field. In this talk about, I will discuss some of the specific advances made in sports video analysis. Computer vision techniques are now used widely in sports analysis to extract data, insights, and inferences of much value. I will highlight some challenges as more and more of such data is becoming available, especially with growing pervasiveness of cameras. I will discuss how some foundational work in computer vision can be brought to bear on this growing problem of sports video analysis and showcase a few recent examples of our work on tracking, registration, and summarization.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: