Presentation 2017-10-12
Performance Evaluation of Gait Recognition by Metric Learning using Joint Intensity Histogram
Yushiro Kashimoto, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We evaluate the performance of gait recognition algorithm using metric learning based on log-likelihood ratio of joint intensity histogram (MLLr) method which is robust to carrying status change. For training-based method, it is preferable to prepare training data that are collected in a similar situation to target situation. However, in real situation, multiple situations with different carrying status can be considered, and hence gait recognition algorithm that can be applied to cases with unknown carrying status is expected. In this study, we created training data set and evaluation data sets with some setting about status of carrying baggage by using walking sequence data of 2,070 subjects. And we evaluated the performance of MLLr by applying MLLr method of each training to each evaluation data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) gait recognition / joint intensity histogram / gait energy image (GEI)
Paper # BioX2017-28
Date of Issue 2017-10-05 (BioX)

Conference Information
Committee BioX
Conference Date 2017/10/12(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Nobumoto Ohama Memorial Hall
Topics (in Japanese) (See Japanese page)
Topics (in English) Biometrics, etc.
Chair Kazuhiko Sumi(AGU)
Vice Chair Hiroshi Takano(Toyama Pref. Univ.) / Hitoshi Imaoka(NEC)
Secretary Hiroshi Takano(AIST) / Hitoshi Imaoka(Fujitsu Labs.)
Assistant Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Norihiro Okui(KDDI Research)

Paper Information
Registration To Technical Committee on Biometrics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Evaluation of Gait Recognition by Metric Learning using Joint Intensity Histogram
Sub Title (in English)
Keyword(1) gait recognition
Keyword(2) joint intensity histogram
Keyword(3) gait energy image (GEI)
Keyword(4)
1st Author's Name Yushiro Kashimoto
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Daigo Muramatsu
2nd Author's Affiliation Osaka University(Osaka Univ.)
3rd Author's Name Yasushi Makihara
3rd Author's Affiliation Osaka University(Osaka Univ.)
4th Author's Name Yasushi Yagi
4th Author's Affiliation Osaka University(Osaka Univ.)
Date 2017-10-12
Paper # BioX2017-28
Volume (vol) vol.117
Number (no) BioX-236
Page pp.pp.17-22(BioX),
#Pages 6
Date of Issue 2017-10-05 (BioX)