Gait recognition based on time-frequency analysis

Author

Huang, Xiaxi ; Boulgouris, Nikolaos V. ; Georgakis, Apostolos

Author_Institution

Dept. of Electron. Eng., King´´s Coll. London, London, UK

fYear

2009

fDate

5-7 July 2009

Firstpage

1

Lastpage

4

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.

Keywords

Wigner distribution; feature extraction; gait analysis; time-frequency analysis; Wigner distribution; gait feature signal; gait recognition; model-based gait feature extraction; time-frequency analysis; Biological system modeling; Data mining; Deformable models; Feature extraction; Fingerprint recognition; Gravity; Signal analysis; Spatial databases; Time domain analysis; Time frequency analysis; gait; recognition; time-frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing, 2009 16th International Conference on

Conference_Location

Santorini-Hellas

Print_ISBN

978-1-4244-3297-4

Electronic_ISBN

978-1-4244-3298-1

Type

conf

DOI

10.1109/ICDSP.2009.5201264

Filename

5201264