University of Waterloo

Sports Analytics

Sports 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.

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Journal Articles

Vats K., Walters P., Fani M., Clausi D.A., and Zelek J.S, "Player tracking and identification in ice hockey", Expert Systems with Applications, vol. 127, 2023. Get it here.

Conference Papers

Kevin Zhu A., Wong A., and McPhee J, "VICE: View-Invariant Chess Estimation", International Conference on Sport Sciences Research and Technology Support, icSPORTS - Proceedings, 2023. Get it here. Vats K., McNally W., Walters P., Clausi D.A., and Zelek J.S, "Ice hockey player identification via transformers and weakly supervised learning", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Vats K., Fani M., Clausi D.A., and Zelek J, "Puck localization and multi-task event recognition in broadcast hockey videos", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. Vats K., Fani M., Clausi D.A., and Zelek J, "Multi-task learning for jersey number recognition in ice hockey", MMSports 2021 - Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports, co-located with ACM MM 2021, 2021. Get it here. Gebotys B., Wong A., and Clausi D, "POOF: Efficient Goalie Pose Annotation using Optical Flow", International Conference on Sport Sciences Research and Technology Support, icSPORTS - Proceedings, 2021. Get it here. Vats K., Fani M., Walters P., Clausi D.A., and Zelek J, "Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2020. Get it here. Cai Z., Neher H., Vats K., Clausi D.A., and Zelek J, "Temporal hockey action recognition via pose and optical flows", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Vats K., Neher H., Clausi D.A., and Zelek J, "Two-stream action recognition in ice hockey using player pose sequences and optical flows", Proceedings - 2019 16th Conference on Computer and Robot Vision, CRV 2019, 2019. Get it here. Fani M., Neher H., Clausi D.A., Wong A., and Zelek J, "Hockey Action Recognition via Integrated Stacked Hourglass Network", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2017. Get it here. Balaji B., Bright J., Prakash H., Chen Y., Clausi D.A., and Zelek J, "Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here. Shang J.C., Chen Y., Shafiee M.J., and Clausi D.A, "Rink-Agnostic Hockey Rink Registration", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here. Bright J., Chen Y., and Zelek J, "Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis", MMSports 2023 - Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, Co-located with: MM 2023, . Get it here.