Computer VisionnSports Analytics is a growing field in computer vision that analyzes visual cues from images to provide statistical data on players, teams, and games. Want to know how a player's technique improves the quality of the team? Can a team, based on their defensive position, increase their chances to the finals? These are a few out of a plethora of questions that are answered in sports analytics.

Related people

Directors

David A. Clausi, John Zelek

Related demos

VIP-HARPE Dataset
VIP-HARPET Dataset
 

Related publications 

Conference papers

H. Neher, K. Vats, A. Wong, D. A. Clausi, "HyperStackNet: A Hyper Stacked Hourglass Deep Convolutional Neural Network Architecture for Joint Player and Stick Pose Estimation in Hockey", Computer and Robot Vision (CRV)  2018, Toronto, Canada, May,  Accepted.

M. Fani, H. Neher, D. A. Clausi, A. Wong. J. Zelek, "Hockey Action Recognition via Integrated Stacked Hourglass Networkpdf", CVPR 2017 CVSports Workshop, Honolulu, Hawaii, July, Accepted.

H. Neher, M. Fani, D. A. Clausi, A. Wong, J. Zelek, "Pose Estimation of Players in Hockey Videos using Convolutional Neural Networkspdf", 2017 Ottawa Hockey Analytics Conference, Ottawa, Canada, May, Accepted.