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Recognition of coordinated multi agent activities: the individual vs the group

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Original languageEnglish
Title of host publicationProc. Workshop on Computer Vision Based Analysis in Sport Environments (CVBASE)
Pages61-70
Number of pages10
Publication statusPublished - 2006

Abstract

The problem of identifying coordinated group activity has received relatively little attention compared to the many approaches of recognising individual actions. Here a comparison between a global and individual modelling approach to classifying coordinated group activity is presented. Results show that by taking a global perspective to classifying coordinated activity in the sports domain better classification performance can be achieved within a relatively simple framework.

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