3rd International Workshop on Computer Vision in Sports (CVsports) at CVPR 2017

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.


Program (July 21 2017):

8.30 – 8.40: Welcome
8.40 – 9.25: Invited talk 1: What is the Best Representation for Representation Learning on Player Tracking Data? Patrick Lucey, STATS
9.25 – 10.25: Oral session 1: Video Summarization & Scoring

  • Auto-curation and Personalization of Sports Highlights through Multimodal Excitement Measures. Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John Smith, Rogerio Feris.
  • SINGLETS: Multi-resolution Motion Singularities for Soccer Video Abstraction. Katy Blanc, Diane Lingrand, Frédéric Precioso.
  • Learning To Score Olympic Events. Paritosh Parmar, Brendan Morris.

10.25 – 10.45: BREAK
10.45 – 12.05: Oral session 2: Pose Estimation & Action Recognition

  • Hockey Action Recognition via Integrated Stacked Hourglass Network. Mehrnaz Fani, Helmut Neher, David A Clausi, Alexander Wong, John Zelek.
  • Extraction and Classification of Diving Clips from Continuous Video Footage. Aiden Nibali, Zhen He, Stuart Morgan, Daniel Greenwood.
  • Accurate and Efficient 3D Human Pose Estimation Algorithm using Single Depth Images for Pose Analysis in Golf. Soonchan Park, Ju Yong Chang, Jae-Ho Lee, Ji-Young Park.
  • Athlete Pose Estimation by a Global-Local Network. Jihye Hwang, Sungheon Park, Nojun Kwak.

12.05 – 13.30: LUNCH
13.30 – 14.15: Invited talk 2: Pose, Transitions and Actions in Sports Video. Jim Little, University of British Columbia
14.15 – 14.35: Poster spotlights
14.35 – 16.00: Poster session

  • Continuous Video to Simple Signals for Swimming Stroke Detection with Convolutional Neural Networks. Brandon E Victor, Zhen He, Stuart Morgan, Dino Miniutti.
  • Application of Computer Vision and Vector Space Model for Tactical Movement Classification in Badminton. Kokum Weeratunga, Anuja Dharmaratne, Boon How Khoo.
  • Automatic Tactical Adjustment in Real-time; Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis. Amir M Rahimi, Soheil Kolouri, Rajan Bhattacharyya.
  • Classification of Puck Possession Events in Ice Hockey. Moumita Roy Tora, Jianhui Chen, Jim Little.
  • Football Action Recognition using Hierarchical LSTM. Takamasa Tsunoda, Yasuhiro Komori, Masakazu Matsugu, Tatsuya Harada.
  • Ball 3D Trajectory Reconstruction Without Preliminary Temporal and Geometrical Camera Calibration. Shogo Miyata, Hideo Saito, Kosuke Takahashi, Dan Mikami, Mariko Isogawa, Hideaki Kimata.
  • Deep Learning for Domain-Specific Action Recognition in Tennis. Silvia Vinyes Mora, William J. Knottenbelt.
  • Court-based Volleyball Video Summarization Focusing on Rally Scene. Takahiro Itazuri, Tsukasa Fuksuato, Shugo Yamaguchi, Shigeo Morishima.
  • Measuring Energy Expenditure in Sports by Thermal Video Analysis. Rikke Gade, Ryan Godsk Larsen, Thomas B. Moeslund.

15.30 – 16.00: BREAK (posters continued)
16.00 – 16.45: Invited talk 3: Deeper understanding of games: how far we can go with the broadcast feed. Mehrsan Javan, SportLogiq
16.45 – 17.00: Best paper award + closing remarks

 
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


Important dates

  • Submission deadline: April 23 2017 Extended: April 30 2017
  • Notification of acceptance: May 10 11 2017
  • Camera ready version: May 17 2017
  • Workshop date: July 21 2017


Invited speakers

 
Best paper award of $500 sponsored by STATS Inc.


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


Program committee (tentative):

Chellapa R., Univ. of Maryland, USA
Cinbiş N., Hacettepe Üniversitesi, Turkey
Dharmaratne A., Monash University, Malaysia
Doulamis A.D., Technical University of Crete, Greece
Escalera S., Univ. Of Barcelona, Spain
Feris R., IBM Research, USA
Ferryman J., Univ. Reading, UK
Gall J., Max Planck Inst., Germany
Gong S., Queen Mary Univ. of London, UK
Gonzalez J., UAB- CVC, Catalonia, Spain
Ikizler-cinbis N., Univ. Boston, USA
Joshi D., IBM Research, USA
Lucey P., Disney Research, Pittsburgh, USA
Merler M., IBM Research, USA
Prati A., Univ. Iuav di Venezia, Italy
Setti F., Iniv. of Verona, Italy

 

Organizers
Thomas Moeslund, Aalborg University, Denmark
Graham Thomas, BBC, UK
Adrian Hilton, University of Surrey, UK
Peter Carr, Disney Research, Pittsburgh, USA
Rikke Gade, Aalborg University, Denmark


Previous activities related to computer vision in sports:


Overall Meeting Sponsors