Open Access

Behavioural Analysis with Movement Cluster Model for Concurrent Actions

EURASIP Journal on Image and Video Processing20102011:365307

DOI: 10.1155/2011/365307

Received: 1 April 2010

Accepted: 20 September 2010

Published: 27 September 2010


We present an approach to model articulated human movements and to analyse their behavioural semantics. First, we describe a novel dynamic and behavioural model that uses movements, a sequence of consecutive poses, from motion captured video data to establish priors for both tracking and behavioural analysis. Second, using that model, we show how we can both learn and subsequently recognise human activity. Activities are modelled and recognised independently to allow concurrent and complex actions. Finally, we combine activity recognition with tracking to produce an overall evaluation of the effectiveness of the approach using publicly available datasets.

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Authors’ Affiliations

Joint Research Institute of Signal and Image Processing, Heriot-Watt University


© Zsolt L. Husz et al. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.