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Details of Grant 

EPSRC Reference: GR/S78841/01
Title: Modelling the Coordinated Activities of Players in High Dimensional, High Volume Sports Data Sets
Principal Investigator: Shihab, Dr AI
Other Investigators:
Rana, Professor O
Researcher Co-Investigators:
Project Partners:
Lamplighters
Department: Faculty of Computing Info System & Maths
Organisation: Kingston University
Scheme: First Grant Scheme Pre-FEC
Starts: 04 October 2004 Ends: 03 October 2007 Value (£): 82,620
EPSRC Research Topic Classifications:
Image & Vision Computing
EPSRC Industrial Sector Classifications:
Creative Industries
Related Grants:
Panel History:  
Summary on Grant Application Form
Sports games typically involve player activities that are structured around patterns of play known as tactics and strategies. These are difficult to model because they involve more than one player and typically involve coordinated activities. This project will produce new techniques to represent and model such tactics and strategies. Most sports video research focuses on automatic segmentation and semantic annotation of broadcast videos. This project is novel within the international research community in that it will extend research into the modelling of tactics and strategies, building on segmentation and player tracking. The models produced will be capable of recognising high-level play interactions such as, `player X goes into a defensive pattern' or 'dominant play by team A'. The proposed research will focus on the tennis game (singles and doubles). The expertise gained from this more tractable problem will then be extended to more complex sports like basketball and football. This research will have great potential consequence in terms of content-based search, specialised sports training, and competitive intelligence. In addition, technologies such as virtual reality and surveillance will be influenced because they also involve coordinated human activity.
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Organisation Website: http://www.kingston.ac.uk