29 January - 2 February, 2017 • Burlingame, California USA

Computer Vision Applications in Sports

Keynote Spotlight: "Automated Sports Broadcasting,"  Peter Carr, Disney Research

 
In team sports, players move in complex but somewhat predictable ways.  With state-of-the-art computer vision and machine learning methods, it is now possible to collect large tracking data sets and learn patterns of how players move.  In this talk, I will describe methods developed at Disney Research to track players automatically using computer vision, as well as machine learning techniques to drive robotic cameras so that games can be recorded automatically. 

Computer Vision Applications in Sports 2017 Sessions Program


Monday January 30, 2017

Sports Imaging

Session Chairs: Mustafa Jaber, NantVision Inc. (United States), and Grigorios Tsagkatakis, FORTH (Greece)
9:30 – 10:20 AM
Cypress B

9:30
Chair Opening Remarks

9:40CVAS-342
Virtual tracking shots for sports analysis, Stuart Bennett1, Joan Lasenby1, and Tony Purnell1,2; 1University of Cambridge and 2British Cycling (United Kingdom)

10:00CVAS-343
Aerodynamic analysis via foreground segmentation, Peter Carey1, Stuart Bennett1, Joan Lasenby1, and Tony Purnell1,2; 1University of Cambridge and 2British Cycling (United Kingdom)


10:20 – 10:50 AM Coffee Break

Sports Analysis

Session Chairs: Mustafa Jaber, NantVision Inc. (United States), and Grigorios Tsagkatakis, FORTH (Greece)
10:50 AM – 12:10 PM
Cypress B

10:50CVAS-344
Goal! Event detection in sports video, Grigorios Tsagkatakis1, Mustafa Jaber2, and Panagiotis Tsakalides1; 1FORTH (Greece) and 2NantVision Inc. (United States)

11:10CVAS-345
Pose estimation for deriving kinematic parameters of competitive swimmers, Dan Zecha, Christian Eggert, and Rainer Lienhart, University of Augsburg (Germany)

11:30CVAS-346
Comparison of a virtual game-day experience on varying devices, Jack Miller, Holly Baiotto, Anastacia MacAllister, Gabriel Evans, Jonathan Schlueter, Melynda Hoover, Vijay Kalivarapu, and Eliot Winer, Iowa State University (United States)

11:50CVAS-347
Digital playbook – A teaching tool for American football, Mario Vorstandlechner and Margrit Gelautz, Technische Universität Wien (Austria)


12:10 – 2:00 PM Lunch Break

EI 2017 Opening Plenary and Symposium Awards

Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D

Giga-scale 3D computational microscopy, Laura Waller, University of California, Berkeley (United States)

Laura Waller is the Ted Van Duzer Endowed Assistant Professor of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley. She is a Senior Fellow at the Berkeley Institute of Data Science, and received her BS (2004), MEng (2005), and PhD (2010) in EECS from the Massachusetts Institute of Technology (MIT). Waller's talk is on computational imaging methods for fast capture of gigapixel-scale 3D intensity and phase images in a commercial microscope that employs illumination-side and detection-side coding of angle (Fourier) space with simple hardware and fast acquisition. The result is high-resolution reconstructions across a large field-of-view, achieving high space-bandwith-time product.

3:00 – 3:30 PM Coffee Break

KEYNOTE: Automated Sports Broadcasting

Session Chairs: Mustafa Jaber, NantVision Inc. (United States), and Grigorios Tsagkatakis, FORTH (Greece)
3:30 – 4:30 PM
Cypress B

CVAS-348 Automated sports broadcasting, Peter Carr, Disney Research (United States)

Peter Carr is a Senior Research Engineer at Disney Research, Pittsburgh. He received his PhD from the Australian National University (2010), under the supervision of Prof. Richard Hartley. His thesis, “Enhancing Surveillance Video Captured in Inclement Weather”, explored single-view depth estimation using graph cuts, as well as real-time image processing on graphics hardware. As part of his earlier PhD work in sports analysis, Carr was a research intern at Mitsubishi Electric Research Labs. He received a Master’s in physics from the Centre for Vision Research at York University in Toronto, Canada, and a Bachelor’s of Applied Science (engineering physics) from Queen’s University in Kingston, Canada.


5:00 – 6:00 PM All-Conference Welcome Reception, Atrium

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Important Dates
Demonstration Applications Dec 15, 2016
Manuscripts Due (check the conference page)
· Pre conference proceedings Nov 28, 2016 
· Post conference proceedings Jan 11, 2017
Registration Opens
Oct 20,2016
Hotel Reservation Deadline
Jan 6, 2017 
Early Registration Ends
Jan 9, 2017
Conference Starts Jan 29, 2017