Skip to main content


We’d like to understand how you use our websites in order to improve them. Register your interest.

Behavioural Analysis with Movement Cluster Model for Concurrent Actions


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.

Publisher note

To access the full article, please see PDF.

Author information



Corresponding author

Correspondence to Andrew M. Wallace.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Husz, Z.L., Wallace, A.M. & Green, P.R. Behavioural Analysis with Movement Cluster Model for Concurrent Actions. J Image Video Proc. 2011, 365307 (2011).

Download citation


  • Image Processing
  • Human Activity
  • Pattern Recognition
  • Computer Vision
  • Cluster Model