[Imageworld] CFP: CVBASE 06 Workshop on Computer Vision Based Analysis in Sport Environments

[D R Magee]

               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.