DocumentCode
2978570
Title
Gait recognition using the magnitude and phase of quaternion wavelet transform
Author
Chao-Rong Li ; Jian-Ping Li ; Xing-Chun Yang ; Zong-Wen Liang
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2012
fDate
17-19 Dec. 2012
Firstpage
322
Lastpage
324
Abstract
An effective gait recognition method using the magnitude and the phase of quaternion wavelet transformation (QWT) is proposed. The proposed method is based on the gait energy image (GEI). The magnitude of the low frequency subband and the phase of the high frequency subbands of QWT are calculated as the feature. Experimental results show that the proposed method has desirable recognition performance.
Keywords
gait analysis; gesture recognition; image motion analysis; wavelet transforms; GEI; QWT magnitude; QWT phase; gait energy image; gait recognition; high frequency subband; low frequency subband; quaternion wavelet transform; Abstracts; Image edge detection; Quaternions; Wavelet transforms; Gait Energy Image; Gait Recognition; Magnitude And Phase; Quaternion Wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Active Media Technology and Information Processing (ICWAMTIP), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-1684-2
Type
conf
DOI
10.1109/ICWAMTIP.2012.6413504
Filename
6413504
Link To Document