![\"\"](\"http:\/\/www.vap.aau.dk\/cvsports\/wp-content\/images\/admt\/weblogo.jpg\")
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Motivation 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.<\/p>\n 9.00 – 9.10: Welcome 12.10 – 14.00: LUNCH 17.10 – 17.25: Closing remarks<\/p>\n <\/p>\n Call for papers – estimation of position and motion of cameras and participants in sports Special Issue<\/strong> Keynotes<\/strong> <\/p>\n Organizers
<\/strong>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.<\/p>\n
Program (December 17):
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9.10 – 10.00: Invited talk 1: Graham Thomas, BBC<\/strong>
10.00 – 10.30: BREAK
10.45 – 12.00: Oral session 1: Segmentation and Tracking<\/p>\n\n
14.00 – 15.00: Invited talk 2: Peter Carr, Disney Research<\/strong>
14.10 – 15.25: Oral session 2: Classification and Understanding<\/p>\n\n
<\/strong>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:<\/p>\n
– 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<\/p>\n
Important dates<\/strong><\/p>\n\n
A special issue based on extended workshop papers alongside submitted papers via an open call, will be published in Computer Vision and Image Understanding<\/em> with Professor Irfan Essa, Georgia Tech as an additional guest editor.
Link<\/a><\/p>\n
Graham Thomas, BBC, UK
Peter Carr, Disney Research, USA<\/p>\n
Submission instructions
<\/strong>Same as for ICCV: link<\/a>
Paper submission: link<\/a><\/p>\n
Program committee:
<\/strong>Chellapa R., Univ. of Maryland, USA
Christmas B., Univ. of Surrey, UK
Cucchiara R., Univ. Modena Reg. Emilia, Italy
Larry Davis, Univ. of Maryland, USA
Dawes R., BBC R&D, UK
Doulamis A.D., Technical University of Crete, Greece
Escalera S., Univ. Of Barcelona, Spain
Ferryman J., Univ. Reading, UK
Gade R., Aalborg University, Denmark
Gall J., Max Planck Inst., Germany
Ghanem B., KAUST, SA
Grau, O, Intel Visual Computing Institute
Gong S., Queen Mary Univ. of London, UK
Gonzalez J., UAB- CVC, Catalonia, Spain
Ikizler-cinbis N., Univ. Boston, USA
Lucey P., Disney Research, Pittsburgh, USA
Perales F., Univ. de les Illes Balears, Spain
Prati A., Univ. Iuav di Venezia, Italy
Setti F., ISTC\u2013CNR (Trento), Italy
Sigal L., Disney Reseach, USA<\/p>\n
<\/strong>Thomas Moeslund<\/a>, Aalborg University, Denmark
Graham Thomas<\/a>, BBC, UK
Adrian Hilton<\/a>, University of Surrey, UK
Peter Carr<\/a>, Disney Research, Pittsburgh, USA<\/p>\n
Previous activities related to computer vision in sports:
<\/strong><\/p>\n\n
<\/a>Editors: Moeslund, Thomas B., Thomas, Graham, Hilton, Adrian (Eds.)
Springer 2014<\/li>\n<\/ul>\n
Overall Meeting Sponsors<\/strong><\/p>\n![\"\"](\"http:\/\/www.vap.aau.dk\/cvsports\/wp-content\/images\/admt\/cvf.png\" "\\"cvf\\"")
<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 ![\"\"](\"http:\/\/www.vap.aau.dk\/cvsports\/wp-content\/images\/admt\/ieee_cs.png\" "\\"ieee_cs\\"")
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