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Paper Abstract and Keywords
Presentation 2010-10-08 10:30
Gait-based Person Identification Robust against Speed Variation using CHLAC features and HMMs
Muhammad Rasyid Aqmar, Koichi Shinoda, Sadaoki Furui (Tokyo Inst. of Tech.) PRMU2010-92 SP2010-48 WIT2010-36
Abstract (in Japanese) (See Japanese page) 
(in English) The performance of gait-based person identification is strongly
affected by the variations in walking speed. In our previous study, we have proposed a new framework
that is robust against speed variation across gait sequences, which combines the Fisher
discriminant analysis (FDA)-based cubic higher-order local
auto-correlation (CHLAC) features and the statistical framework
provided by hidden Markov models (HMMs).
The CHLAC features capture the within-phase spatio-temporal characteristics of each walker, while
the HMMs identify the person and the phase of each gait even when the walking
speed changes nonlinearly.
However, since CHLAC features do not have much shape information of a gait phase, it is difficult to identify/segment the walking phase accurately.
Therefore in this paper, we not only use CHLAC features to train the HMM, but also utilize principal component analysis (PCA) features
that have more shape information of a gait phase in order to have a better gait cycle segmentation/alignment process.
We also evaluate our method when the walking speed varied within a gait sequence by manually
creating mixed speed variation data within a gait sequence in TokyoTech database.
We compared our method with other
conventional methods using three other public databases. The proposed method was
better than the others when the speed varied across and within a gait
sequence.
Keyword (in Japanese) (See Japanese page) 
(in English) CHLAC / FDA / PCA / Gaussian Mixture HMMs / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 219, PRMU2010-92, pp. 23-28, Oct. 2010.
Paper # PRMU2010-92 
Date of Issue 2010-10-01 (PRMU, SP, WIT) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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Download PDF PRMU2010-92 SP2010-48 WIT2010-36

Conference Information
Committee PRMU SP WIT  
Conference Date 2010-10-08 - 2010-10-09 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-10-PRMU-SP-WIT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Gait-based Person Identification Robust against Speed Variation using CHLAC features and HMMs 
Sub Title (in English)  
Keyword(1) CHLAC  
Keyword(2) FDA  
Keyword(3) PCA  
Keyword(4) Gaussian Mixture HMMs  
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Keyword(6)  
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Keyword(8)  
1st Author's Name Muhammad Rasyid Aqmar  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Koichi Shinoda  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Sadaoki Furui  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2010-10-08 10:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-92, SP2010-48, WIT2010-36 
Volume (vol) vol.110 
Number (no) no.219(PRMU), no.220(SP), no.221(WIT) 
Page pp.23-28 
#Pages
Date of Issue 2010-10-01 (PRMU, SP, WIT) 


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