Gait recognition based on time-frequency analysis

Authors:
Xiaxi Huang;Nikolaos V. Boulgouris;Apostolos Georgakis
Affiliations:
Department of Electronic Engineering, King's College London, United Kingdom;Department of Electronic Engineering, King's College London, United Kingdom;Department of Electronic Engineering, King's College London, United Kingdom
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

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Abstract

In this paper, we extract model-based gait features and investigate the time-frequency representations of the feature signals. A novel gait recognition approach is proposed, which is based on time-frequency analysis of gait feature signals using the Wigner distribution. Time-frequency analysis using the Wigner distribution is aimed at capturing gait information that is not extractable using other time-domain or frequency-domain techniques. Experiments, conducted based on the above approach, yielded encouraging results.