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
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;
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICWAMTIP), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1684-2
DOI :
10.1109/ICWAMTIP.2012.6413504
