Presentation 2018-10-12
Evaluation for individuality of intermediate output from CNN-based gait classification network
Kousuke Moriwaki, Daigo Muramatsu, Noriko Takemura, Yasushi Yagi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In personal authentication using convolutional neural network, we often use attribute information besides input's personal ID. However, its attribute information includes personal information, so we have to be careful to deal it. In this paper, I validate which personal attribute has how much personal information, and evaluate the relation between the attribute estimation ability and its personal authentication ability.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Gait Recognition / Deep Learning / Personal Attribute / Personal Information
Paper # BioX2018-27
Date of Issue 2018-10-04 (BioX)

Conference Information
Committee BioX
Conference Date 2018/10/11(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 Hitoshi Imaoka(NEC) / Tetsushi Ohki(Shizuoka Univ.)
Secretary Hitoshi Imaoka(Fujitsu Labs.) / Tetsushi Ohki(Univ. of Electro-Comm.)
Assistant Norihiro Okui(KDDI Research) / Daishi Watabe(Saitama Inst. of Tech.)

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) Evaluation for individuality of intermediate output from CNN-based gait classification network
Sub Title (in English)
Keyword(1) Gait Recognition
Keyword(2) Deep Learning
Keyword(3) Personal Attribute
Keyword(4) Personal Information
1st Author's Name Kousuke Moriwaki
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 Noriko Takemura
3rd Author's Affiliation Osaka University(Osaka Univ.)
4th Author's Name Yasushi Yagi
4th Author's Affiliation Osaka University(Osaka Univ.)
Date 2018-10-12
Paper # BioX2018-27
Volume (vol) vol.118
Number (no) BioX-236
Page pp.pp.45-49(BioX),
#Pages 5
Date of Issue 2018-10-04 (BioX)