Gait Recognition Based on Wavelet Descriptors

Abstract:

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An efficient gait recognition approach based on wavelet descriptors (WDS) is proposed. First, gait silhouette is described by WDS. Second, the PCA is applied to reduce the dimensionality of the input feature space. Then, the similarity of training samples and test samples is calculated. Finally, sequences matching are used to get the correct identification rate. By utilizing the proposed approach, the experiments made on CMU database have achieved comparatively high correct identification rate. And related experiment results show that, in the same conditions, the correct identification achieved by WDS is generally higher than the method of Centroid and FDS.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

2124-2131

DOI:

10.4028/www.scientific.net/AMM.29-32.2124

Citation:

C. P. Shi et al., "Gait Recognition Based on Wavelet Descriptors", Applied Mechanics and Materials, Vols. 29-32, pp. 2124-2131, 2010

Online since:

August 2010

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Price:

$35.00

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