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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
Gait Recognition Using Fractal Scale and Wavelet Moments
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Guoying Zhao, Li Cui, Hua Li, Matti Pietikainen, "Gait Recognition Using Fractal Scale and Wavelet Moments," Pattern Recognition, International Conference on, vol. 4, pp. 453-456, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.594,
author = {Guoying Zhao and Li Cui and Hua Li and Matti Pietikainen},
title = {Gait Recognition Using Fractal Scale and Wavelet Moments},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {453-456},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.594},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Gait Recognition Using Fractal Scale and Wavelet Moments
SN - 1051-4651
SP453
EP456
A1 - Guoying Zhao,
A1 - Li Cui,
A1 - Hua Li,
A1 - Matti Pietikainen,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Guoying Zhao, University of Oulu, Finland
Li Cui, Beijing Normal University, Beijing, China
Hua Li, Chinese Academy of Sciences, Beijing, China
Matti Pietikainen, University of Oulu, Finland
Video-based gait recognition is a challenging problem in computer vision. In this paper, fractal scale wavelet analysis is applied to describe and automatically recognize gait. Fractal scale based on wavelet analysis represents the self-similarity of signals, and improves the flexibility of wavelet moments. Optimal wavelets based on generalized multi-resolution analysis are used to improve the recognition rate. Descriptors of fractal scale are translation, scale and rotation invariant. Moreover, a combination of fractal scale and wavelet moments improves the recognition rate. Experiments show that the proposed descriptor is efficient for gait recognition.
Citation:
Guoying Zhao, Li Cui, Hua Li, Matti Pietikainen, "Gait Recognition Using Fractal Scale and Wavelet Moments," icpr, vol. 4, pp.453-456, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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