5th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2019

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)

Tentative program (June 17, 2019)
8.30-8.40 Welcome
8.40-9.25 Invited talk by Eric Li, Intel Sports Group (see abstract and bio below)
9.25-10.00 Poster spotlight presentations
10.00-11.15 Poster session + coffee break
11.15-12.00 Invited talk by Fredrik Tuxen, TrackMan (see abstract and bio below)
12.00-12.15 Best paper award + closing remarks

Best paper award
1000$ sponsored by TrackMan.


Important dates

  • Submission deadline: March 10 March 14, 2019
  • Notification of acceptance: April 1 April 3, 2019
  • Camera ready version: April 8 April 10, 2019
  • Workshop date: June 17, 2019


Invited speakers

Fredrik Tuxen, CTO @ TrackMan, http://www.trackman.com/
Abstract:
Coming soon.
Bio:
Coming soon.

Eric Li, Intel Sports Group, https://www.intel.com/content/www/us/en/sports/sports-overview.html

Abstract:
Intel Sports has a volumetric video capture technology that gives avid fans a new and immersive ways to engage with sports content. It allows fans to see every angle of the most amazing plays – even from the player’s perspective. High-resolution cameras and AI technologies are now deployed in stadiums and cloud around the world. You can experience amazing replays and highlights on TV, in the stadium, or on sports websites and apps (https://www.intel.com/content/www/us/en/sports/technology/true-view.html).
In this project, one complex task we need address is real-time player and ball tracking. This talk will cover how we do multi-camera player and ball tracking in NFL. Meanwhile, how we handle the difficulties in real production environment will also be discussed.
Bio:
Eric Li joined Intel in 2002. He is currently leading CV based player tracking technology development in Intel Sports. Prior to this, he has been working on high performance facial analysis technology development, which was used in several top messaging mobile applications. Earlier, he has been working on projects including multimedia and machine learning technology, algorithmic & architecture related parallelization and optimization. He received his B.S degree from Tsinghua Univ. in 1999, M.S degree in communication and information system from Tsinghua Univ. in 2002.


Submission instructions
Guidelines (same as for CVPR): Link
Submission: Link

Accepted papers will be published in the CVPR workshop proceedings on IEEE Xplore.


Program committee:

Adrien Deliege, University of Liege, Belgium
AJ Piergiovanni, Indiana University, USA
Anastasios Doulamis, Technical University of Crete, Greece
Anuja Dharmaratne, Monash University, Malaysia
Arda Senocak, KAIST, Saudi Arabia
Bir Bhanu, UC Riverside, USA
Dan Mikami, NTT, Japan
Dan Zecha, University of Augsburg, Germnay
Francesco Setti, University of Verona, Italy
Gen Li, Bytedance.Inc, China
Hideo Saito, Keio University, Japan
Hyun Soo Park, The University of Minnesota, USA
Jesse Davis, KU Leuven, Belgium
Jianhui Chen, University of British Columbia, Canada
Jürgen Gall, University of Bonn, Germany
Kosuke Takahashi, NTT, Japan
Lei Li, ByteDance AI Lab, China
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
Noel O’Connor, Dublin City University, Ireland
Noor Ul Huda, Aalborg University, Denmark
Parthipan Siva, SPORTLOGiQ, Canada
Pushkar Shukla, University of California Santa Brabara, USA
Rainer Lienhart, Universitat Augsburg, Germany
Rajkumar Theagarajan, University of California, Riverside, USA
Rama Chellappa, University of Maryland, USA
Sergio Escalera, Computer Vision Center (UAB) & University of Barcelona, Spain
Shikun Xu, Bytedance, China
Silvio Giancola, KAUST, Saudi Arabia
Simon Denman, Queensland University of Technology, Australia
Stuart Morgan, La Trobe University, Australia
Tomoya Kaichi, Keio University, Japan

Organizers
Thomas Moeslund, Aalborg University, Denmark
Graham Thomas, BBC, UK
Adrian Hilton, University of Surrey, UK
Jim Little, University of British Columbia, Canada
Rikke Gade, Aalborg University, Denmark


Previous activities related to computer vision in sports:


Overall Meeting Sponsors