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Pattern Analysis and Applications

Erschienen in:

01.08.2007 | Theoretical Advances

Gait recognition using fractal scale

verfasst von: Guoying Zhao, Li Cui, Hua Li

Erschienen in: Pattern Analysis and Applications | Ausgabe 3/2007

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Abstract

Gait is an identifying biometric feature. Video-based gait recognition has now become a new challenging topic in computer vision. In this paper, fractal scale wavelet analysis is applied to describe and automatically recognize gait. Fractal scale, which is based on wavelet analysis, represents the self-similarity of signals, and improves the flexibility of wavelet moments. It is translation, scale and rotation invariant, and has anti-noise and occlusion handling performance. Moreover, by introducing the Mallat algorithm of wavelet, it reduces the computation complexity. Experiments on three databases show that fractal scale has simple computation and is an efficient descriptor for gait recognition.

Vorheriger Artikel Joint estimation of motion and radiometry of rotating camera for HDR global mosaic

Nächster Artikel Automated image-orientation detection: a scalable boosting approach

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Titel: Gait recognition using fractal scale
verfasst von: Guoying Zhao
Li Cui
Hua Li
Publikationsdatum: 01.08.2007
Verlag: Springer-Verlag
Erschienen in: Pattern Analysis and Applications / Ausgabe 3/2007
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI: https://doi.org/10.1007/s10044-007-0064-z

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