Motivation
Sports is said to be the social glue of society. It allows people to interact irrespective of their social status, age etc. With the rise of the mass media, a significant quantity of resources has been channeled into sports in order to improve understanding, performance and presentation. For example, areas like performance assessment, which were previously mainly of interest to coaches and sports scientists are now finding applications in broadcast and other media, driven by the increasing use of on-line sports viewing which provides a way of making all sorts of performance statistics available to viewers. Computer vision has recently started to play an important role in sports as seen in for example football where computer vision-based graphics in real-time enhances different aspects of the game. Computer vision algorithms have a huge potential in many aspects of sports ranging from automatic annotation of broadcast footage, through to better understand of sport injuries, and enhanced viewing. So far, the use of computer vision in sports has been scattered between different disciplines.
Call for papers
The ambition of this workshop is to bring together practitioners and researchers from different disciplines to share ideas and methods on current and future use of computer vision in sports. To this end we welcome computer vision-based research contributions as well as best-practice contributions focusing on the following (and similar) topics:
- estimation of position and motion of cameras and participants in sports
- tracking people and objects in sports
- activity recognition in sports
- event detection in sports
- spectator monitoring
- annotation and indexing in sports
- graphical effects in sports
- analysis of injuries in sports
- performance assessment in sports
- alternative sensing in sports (beyond the visible spectrum)
- tactics analysis in sports
- automatic narration and captioning in sports
- training assistance in sports
- augmented/virtual reality in sports
- datasets in sports
- bias in sports
- XAI in sports
- ethics & algorithms in sports
Important dates
- Paper submission deadline: March 6, 2023 (11.59pm Pacific Time)
- Notification of acceptance: March 28, 2023
- Camera ready deadline: April 6, 2023
- Workshop date: June 19, 2023
Submission instructions
Policies and guidelines (same as for CVPR): Link
Submission: Coming soon
Accepted papers will be published in the CVPR workshop proceedings on IEEE Xplore and as open access on http://openaccess.thecvf.com/.
Competition – SoccerNet
- Player understanding: player tracking, player re-identification, and jersey number recognition
- Field understanding: pitch localization and camera calibration
- Broadcast video understanding: action spotting and dense video captioning
Organizers
Rikke Gade, Aalborg University, Denmark
Thomas Moeslund, Aalborg University, Denmark
Graham Thomas, BBC, UK
Adrian Hilton, University of Surrey, UK
Jim Little, University of British Columbia, Canada
Michele Merler, IBM Research, USA
Previous editions of CVsports:
- 1st IEEE International Workshop on Computer Vision in Sports (at CVPR 2013)
- 2nd IEEE International Workshop on Computer Vision in Sports (at ICCV 2015)
- 3rd IEEE International Workshop on Computer Vision in Sports (at CVPR 2017)
- 4th IEEE International Workshop on Computer Vision in Sports (at CVPR 2018)
- 5th IEEE International Workshop on Computer Vision in Sports (at CVPR 2019)
- 6th IEEE International Workshop on Computer Vision in Sports (at CVPR 2020)
- 7th IEEE International Workshop on Computer Vision in Sports (at CVPR 2021)
- 8th IEEE International Workshop on Computer Vision in Sports (at CVPR 2022)
Related publications:
- Special issue in CVIU: Special Issue on Computer Vision in Sports
- Book: Computer Vision in Sports. Moeslund, Thomas B., Thomas, Graham, Hilton, Adrian (Eds.),Springer 2014
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