This workshop is a full day event scheduled for June 19. Due to the COVID-19 pandemic the meeting will be purely virtual, hosted by CVPR.
All accepted papers will be presented with a 10-minute video presentation, and there will be a live Q&A session. Instructions for uploading the presentation material has been sent to all authors by email on May 13. Dedline for uploading the presentation is May 25th at 12pm (noon) Eastern Time (ET).
We will also host invited talks as video presentations.
- Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis. Marie-Sophie von Braun, Patrick Frenzel, Christian Käding, Mirco Fuchs.
- VR Alpine Ski Training Augmentation using Visual Cues of Leading Skier. Erwin Wu, Takayuki Nozawa, Florian Perteneder, Hideki Koike.
- Multimodal and multiview distillation for real-time player detection on a football field. Anthony Cioppa, Adrien Deliege, Noor Ul Huda, Rikke Gade, Marc Van Droogenbroeck, Thomas B. Moeslund.
- Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions. Kanav Vats, Mehrnaz Fani, Pascale B Walters, David A Clausi, John Zelek.
- TTNet: Real-time temporal and spatial video analysis of table tennis. Roman Voeikov, Nikolay S. Falaleev, Ruslan Baikulov.
- Using Player’s Body-Orientation to Model Pass Feasibility in Soccer. Adrià Arbués-Sangüesa, Adrian Martin, Javier Fernandez, Coloma Ballester, Gloria Haro.
- A non-invasive vision based approach to velocity measurement of Skeleton training. Murray Evans, Laurie Needham, Steffi Colyer, Darren Cosker.
- A System for Acquisition and Modelling of Ice-Hockey Stick Shape Deformation from Player Shot Videos. Kaustubha Mendhurwar, Gaurav Handa, Leixiao Zhu, Sudhir Mudur, Etienne Beauchesne, Marc LeVangie, Aiden Hallihan, Abbas Javadtalab, Tiberiu Popa.
- Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings. Moritz Einfalt, Rainer Lienhart.
- As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition. Julian Quiroga, Henry Carrillo, Edisson Maldonado, John Ruiz, Luis Zapata.
- Improved Soccer Action Spotting using both Audio and Video Streams. Bastien Vanderplaetse, Stéphane Dupont.
- Group Activity Detection from Trajectory and Video Data in Soccer. Ryan Sanford, Siavash Gorji, Luiz Gustavo Hafemann, Bahareh Pourbabaee, Mehrsan Javan.
- FALCONS: FAst Learner-grader for CONtorted poses in Sports. Mahdiar Nekoui, Fidel Omar Tito Cruz, Li Cheng.
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
- Submission deadline:
March 8, 2020March 15, 2020 (11.59pm Pacific Time)
- Notification of acceptance: April 10, 2020
- Camera ready deadline: April 18, 2020
- Workshop date: June 19, 2020 (full day)
Guidelines (same as for CVPR): Link
Accepted papers will be published in the CVPR workshop proceedings on IEEE Xplore and as open access on http://openaccess.thecvf.com/.
Best paper award
1000$ sponsored by WSC Sports.
- Mehrsan Javan, CTO, SPORTLOGiQ
- Amos Bercovich, Algorithm Team Leader, WSC Sports
- Rainer Lienhart, Professor, University of Augsburg
- John R. Smith, IBM Fellow and Manager of AI Tech, IBM Research
Adrien Deliege, University of Liege, Belgium
AJ Piergiovanni, Indiana University, USA
Anastasios Doulamis, Technical University of Crete, Greece
Anthony Cioppa, University of Liege, Belgium
Dan Gutfreund, IBM Research
Dan Mikami, NTT, Japan
Dhiraj Joshi, IBM Research, USA
Francesco Setti, University of Verona, Italy
Hideo Saito, Keio University, Japan
Jesse Davis, KU Leuven, Belgium
Jianhui Chen, University of British Columbia, Canada
Marc Van Droogenbroeck, University of Liege, Belgium
Mariko Isogawa, NTT, Japan
Mohib Ullah, NTNU, Norway
Moritz Einfalt, University of Augsburg, Germany
Nicola Mosca, CNR ISSIA, Italy
Rainer Lienhart, Universitat Augsburg, Germany
Rajkumar Theagarajan, University of California, Riverside, USA
Sergio Escalera, Computer Vision Center (UAB) & University of Barcelona, Spain
Silvio Giancola, KAUST, Saudi Arabia
Simon Denman, Queensland University of Technology, Australia
Stuart Morgan, La Trobe University, Australia
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
Rikke Gade, Aalborg University, Denmark
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)
- 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
Overall Meeting Sponsors