Architecture and algorithms for tracking football players with multiple cameras

Ming Xu, Liam Lowey, James Orwell

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review


A system architecture and method for tracking people is presented for a sports application. The system input is video data from static cameras with overlapping fields-of-view at a football stadium. The output is the real-world, real-time positions of football players for during a match. The system comprises two processing stages, operating on data from first a single camera and then multiple cameras. The organisation of processing is designed to achieve sufficient synchronisation between cameras, using a request-response pattern, invoked by the second stage multicamera tracker. The single-view processing includes change detection against an adaptive background and image-plane tracking to improve the reliability of measurements of occluded players. The multiview process uses Kalman trackers to model the player position and velocity, to which the multiple measurements input from the single-view stage are associated. Results are demonstrated on real data.
Original languageEnglish
Title of host publicationIEE Intelligent Distributed Surveillance Systems
Place of PublicationLondon
PublisherThe Institution of Electrical Engineers
Number of pages5
ISBN (Electronic)0537-9989
ISBN (Print)0-86341-392-7
Publication statusPublished - 2004
Externally publishedYes


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