DocumentCode
417034
Title
A gait recognition method using HMM
Author
Iwamoto, Kota ; Sonobe, Kazuyuki ; Komatsu, Naohisa
Author_Institution
Waseda Univ., Tokyo, Japan
Volume
2
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
1936
Abstract
New biometrics identification methods, including person identification using a walk characteristic (gait recognition) is attracting attention. In this paper, an identification method on gait recognition is proposed. In the proposed method, outlines of person are represented by P-style Fourier descriptions, and these time-serial walking characteristics use HMM. It is shown that the proposed method brings the high rate of identification and is effective in indoor environment with simulation results.
Keywords
Fourier analysis; biometrics (access control); feature extraction; gait analysis; hidden Markov models; image recognition; principal component analysis; HMM; P-style Fourier descriptions; biometrics identification methods; gait recognition; hidden Markov models; person identification; principal component analysis; time serial walking characteristics;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1324277
Link To Document