ECCV CVBASE 06
          Workshop on Computer Vision Based
           Analysis in Sport Environments
 
           in conjunction with ECCV 2006,
             Graz, Austria, May 12, 2006
 
       http://vision.fe.uni-lj.si/cvbase06/
 
 Workshop focus:
 
 Video-based analysis of sport events is an important tool in analysis of
 individual players and sport teams, but usually requires many hours of
 manual work. Computer vision based methods can provide help in
 automating many of those tasks, for example tracking, annotation,
 indexing and automatic generation of semantic descriptions. 
 
 On the other hand, sport provides plenty of opportunities for engineers
 to test the new and promising general purpose motion analysis methods on
 real data in the sport environments, which have some distinctive
 advantages over other testbeds: well documented rules, constraints and
 requirements. 
 
 Workshop topics:
      * tracking of athletes/players
      * ball tracking
      * motion data processing and analysis
      * individual activity detection, recognition and analysis
      * team (multi-agent) activity detection, recognition and analysis
 Important dates & deadlines:
      * Paper submission: February 1, 2006
      * Acceptance decision: March 15, 2006
      * Final paper submission: April 1, 2006
 
 Co-chairs:
      * Janez Pers, University of Ljubljana
      * Derek R. Magee, University of Leeds, UK
 
 Program comittee:
      * David Hogg, University of Leeds (UK)
      * Stanislav Kovacic, University of Ljubljana (Slovenia)
      * Ahmed I. Shihab, Kingston University (UK)
      * Chris Needham, University of Leeds (UK)
      * Bob Fisher, University of Edinburgh (UK)
      * Marco Bertini, University of Florence (Italy)
      * Jim Little, University of British Columbia (Canada)
      * Vincent Lepetit, Ecole Polytechnique Federale de Lausanne (Switzerland)
      * Justus Piater, Universite de Liege (Belgium)
      * James M. Orwell, Kingston University (UK)
      * Andrew J. Stoddart, ViconPeak/OMG plc ( UK)
      * James Ferryman, Reading University (UK)
      * Greg Mori, Simon Fraser University (Canada)
      * Stefan Carlsson, KTH (Sweden)
      * Josephine Sullivan, KTH (Sweden)
      * Slobodan Ribaric, University of Zagreb (Croatia)
 
 CVBASE '06 Dataset
 
 To encourage research on computer vision in sport environments,
 the organizers of CVBASE 06 provided a dataset, which is available
 for download from the workshop home page.
 
 Use of CVBASE '06 Dataset is not a prerequisite for acceptance
 of your paper to CVBASE '06 Workshop. In other words, you are
 welcome to use your own data. We provide this dataset as a convenience.
 
 The CVBASE 06 Dataset consists of three types of data:
      * Video data
      * Annotations (individual player actions, group activity).
      * Trajectories (player positions in court and camera coordinate systems).
 
 Dataset includes three types of sports:
      * European (team) handball (videos, trajectories, annotations)
      * Squash (videos, trajectories, annotations)
      * Basketball (videos only)
 
 Matlab interface for easy access to all types of data is also provided -
 however, Matlab is not required for use of the dataset.  All the data is
 in common formats (DivX .avi, tab separated text files) and could be
 read with variety of applications.