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Model-based human gait recognition using fusion of features

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2 Author(s)
Xiaxi Huang ; Department of Electronic Engineering, King's College London, United Kingdom ; Nikolaos V. Boulgouris

In this paper, we investigate the fusion of several features extracted from manually-labelled silhouettes. A novel approach for human gait recognition based on the combination of three discriminative features, i.e., the area, the gravity centre, and the orientation of each body component, is also proposed. Experimental results show that the proposed method exhibits considerably better performance, in comparison to all existing methods that use manually-extracted silhouettes.

Published in:

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

Date of Conference:

19-24 April 2009