Submission deadline is 30th September CVIU Special Issue: Computer Vision Based Analysis in Sport Environments Call for papers http://vision.fe.uni-lj.si/cvbase06/journal.html 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. We solicit papers for a special issue of Computer Vision and Image Understanding (CVIU) relating to Computer Vision Based Analysis in Sport Environments. This is in association with the ECCV workshop on Computer Vision Based Analysis in Sport Environments. However, we welcome submission from researchers who did not participate in this workshop. Potential Topics include: 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. SPORTS DATA A number of datasets were prepared for the ECCV CVBASE workshop. These are still available from the CVBASE website: http://vision.fe.uni-lj.si/cvbase06/downloads.html Important dates: Deadline for submission: 30th September 2006 Review Decision expected: 1st February 2007 Final paper submission: 1st April 2007 Journal publication expected: 3rd Quarter 2007 GUEST EDITORS: Derek R. Magee (University of Leeds, UK) Janez Pers (University of Ljubljana, Slovenia) SUBMISSION INSTRUCTIONS: The CVIU submission system has been set up for the special issue. It is just like submitting to CVIU normally, but one has to select "Special Issue: Analysis in Sport Environ" when asked to select Article Type. The webpage is: http://www.ees.elsevier.com/cviu/ You have to register (if you aren't already registered with elsevier/CVIU), then log in as an author. The guide for authors is at: http://authors.elsevier.com/GuideForAuthors.html?PubID=622809&dc=GFA