News
June 20:
Winner of best paper award 2020 sponsored by WSC Sports:
Multimodal and multiview distillation for real-time player detection on a football field, by Anthony Cioppa, Adrien Deliege, Noor Ul Huda, Rikke Gade, Marc Van Droogenbroeck and Thomas B. Moeslund
June 16:
CVsports is featured in CVPR Daily: https://www.rsipvision.com/CVPR2020-Tuesday/20/
Program
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 presentations will be available for asynchronous viewing. The below program is for live Q&A sessions, which will take place twice, to accommodate for different time zones.
| Time (PDT) | Alternate time (PDT) | Session | Title | Authors |
|---|---|---|---|---|
| 0900-0945 | 2100-2145 | Orals 1 | Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis VR Alpine Ski Training Augmentation using Visual Cues of Leading Skier Multimodal and multiview distillation for real-time player detection on a football field |
Marie-Sophie von Braun, Patrick Frenzel, Christian Käding, Mirco Fuchs Erwin Wu, Takayuki Nozawa, Florian Perteneder, Hideki Koike Anthony Cioppa, Adrien Deliege, Noor Ul Huda, Rikke Gade, Marc Van Droogenbroeck, Thomas B. Moeslund |
| 0945-1030 | 2145-2230 | Invited talk 1 | Follow on Research Questions for Human Pose Estimation in Individual Sports | Rainer Lienhart |
| 1030-1115 | 2230-2315 | Orals 2 | Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions TTNet: Real-time temporal and spatial video analysis of table tennis Using Player’s Body-Orientation to Model Pass Feasibility in Soccer |
Kanav Vats, Mehrnaz Fani, Pascale B Walters, David A Clausi, John Zelek Roman Voeikov, Nikolay S. Falaleev, Ruslan Baikulov Adrià Arbués-Sangüesa, Adrian Martin, Javier Fernandez, Coloma Ballester, Gloria Haro |
| 1115-1200 | 2315-0000 | Invited talk 2 | From detecting sports actions to understanding professional sports broadcasting patterns | Amos Bercovich |
| 1300-1345 | 0100-0145 | Orals 3 | A non-invasive vision based approach to velocity measurement of Skeleton training A System for Acquisition and Modelling of Ice-Hockey Stick Shape Deformation from Player Shot Videos Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings |
Murray Evans, Laurie Needham, Steffi Colyer, Darren Cosker Kaustubha Mendhurwar, Gaurav Handa, Leixiao Zhu, Sudhir Mudur, Etienne Beauchesne, Marc LeVangie, Aiden Hallihan, Abbas Javadtalab, Tiberiu Popa Moritz Einfalt, Rainer Lienhart |
| 1345-1430 | 0145-0230 | Invited talk 3 | Efficient Video Understanding for Sports at IBM Research | John R. Smith |
| 1430-1530 | 0230-0330 | Orals 4 | As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition Improved Soccer Action Spotting using both Audio and Video Streams Group Activity Detection from Trajectory and Video Data in Soccer FALCONS: FAst Learner-grader for CONtorted poses in Sports |
Julian Quiroga, Henry Carrillo, Edisson Maldonado, John Ruiz, Luis Zapata
|
| 1530-1615 | 0330-0415 | Invited talk 4 | Real-time sport analytics from broadcast feeds | Mehrsan Javan |
| 0415-0430 | Best paper award | Sponsored by WSC Sports |
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
Important dates
- 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)
Submission instructions
Guidelines (same as for CVPR): Link
Submission: 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.
Invited speakers
- 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
Program committee:
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
Organizers
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)
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
Overall Meeting Sponsors
