Gait recognition across various walking speeds using higher order shape configuration based on a differential composition model
Date
2012
Authors
Kusakunniran, Worapan
Wu, Qiang
Zhang, Jian
Li, Hongdong
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
Gait has been known as an effective biometric feature to identify a person at a distance. However, variation of walking speeds may lead to significant changes to human walking patterns. It causes many difficulties for gait recognition. A comprehensive analysis has been carried out in this paper to identify such effects. Based on the analysis, Procrustes shape analysis is adopted for gait signature description and relevant similarity measurement. To tackle the challenges raised by speed change, this paper proposes a higher order shape configuration for gait shape description, which deliberately conserves discriminative information in the gait signatures and is still able to tolerate the varying walking speed. Instead of simply measuring the similarity between two gaits by treating them as two unified objects, a differential composition model (DCM) is constructed. The DCM differentiates the different effects caused by walking speed changes on various human body parts. In the meantime, it also balances well the different discriminabilities of each body part on the overall gait similarity measurements. In this model, the Fisher discriminant ratio is adopted to calculate weights for each body part. Comprehensive experiments based on widely adopted gait databases demonstrate that our proposed method is efficient for cross-speed gait recognition and outperforms other state-of-the-art methods.
Description
Keywords
Keywords: Composition model; Gait recognition; Higher order derivatives; Human identification; Procrustes shape analysis; Walking speed; Biometrics; Gait analysis; Speed; article; biological model; biomechanics; biometry; factual database; gait; human; image proces Differential composition model (DCM); gait recognition; higher order derivative; human identification; Procrustes shape analysis (PSA); walking speed variation
Citation
Collections
Source
IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics
Type
Journal article
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DOI
10.1109/TSMCB.2012.2197823
Restricted until
2037-12-31