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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CNR, BioX 2022-03-04
15:50
Online Online Gait-based Age Estimation Using Angle Suppression Learning
Kodai Yamano (Osaka Univ.), Daigo Muramatsu (Seikei Univ.), Noriko Takemura, Yasushi Yagi (Osaka Univ.) BioX2021-56 CNR2021-37
Robustness for observation view difference is an important and expected property for gait-based age estimation. In order... [more] BioX2021-56 CNR2021-37
pp.51-56
BioX 2020-11-25
11:35
Online Online Gait Based Gender Classification via Siamese Network
Yi-Cheng Yang (Osaka Univ.), Daigo Muramatsu (Seikei Univ.), Yasushi Yagi (Osaka Univ.) BioX2020-36
An approach for gender classification from a walking image sequence is constructing CNN-based model that uses a gait ene... [more] BioX2020-36
pp.7-10
PRMU, BioX 2019-03-18
10:30
Tokyo   Gait Recognition Based on Constraint Mutual Subspace Method with CNN Features
Akinari Sakai, Naoya Sogi, Kazuhiro Fukui (University of Tsukuba) BioX2018-50 PRMU2018-154
In this paper, we propose a high performance gait recognition framework. In recent years, the gait recognition has attra... [more] BioX2018-50 PRMU2018-154
pp.125-130
MoNA 2018-12-25
15:00
Tokyo   Human Gait Recognition Method for Long and Baggy Clothes Using Machine Learning
Abrar Alharbi, Eiji Kamioka (SIT) MoNA2018-50
Human gait is a significant biometric feature used for the identification of people by their style of walking. In compar... [more] MoNA2018-50
pp.67-72
CAS, NLP 2018-10-19
09:30
Miyagi Tohoku Univ. Person recognition by gait using an Extreme Learning Machine
Hayato Benitani, Masaharu Adachi (Tokyo Denki Univ.) CAS2018-49 NLP2018-84
In this research, we propose a method of person recognition using an Extreme Learning Machine (ELM). We proposed an ELM ... [more] CAS2018-49 NLP2018-84
pp.63-68
PRMU, BioX 2017-03-20
15:20
Aichi   The OU-ISIR MVLP: Multi-view Large Population Gait Database and Its Performance Evaluation
Noriko Takemura, Yasushi Makihara, Daigo Muramatsu (Osaka Univ.), Tomio Echigo (OECU), Yasushi Yagi (Osaka Univ.) BioX2016-46 PRMU2016-209
This paper describes the world’s largest wide view variation gait database, the OU-ISIR Multi-View Large Population (MVL... [more] BioX2016-46 PRMU2016-209
pp.81-86
BioX 2015-08-24
15:10
Hokkaido Otaru Port Marina A Study on Mutual Subspace Method Applied in Gait Recognition
Yumi Iwashita (Kyushu Univ.), Hitoshi Sakano (NTT Data Corp.), Ryo Kurazume (Kyushu Univ.) BioX2015-15
We previously proposed a gait-based person recognition method using a mutual subspace method (MSM), with an assumption t... [more] BioX2015-15
pp.11-14
PRMU 2011-03-11
11:40
Ibaraki   Person identification robust to changes in appearance
Yumi Iwashita, Koji Uchino, Ryo Kurazume (Kyushu Univ.) PRMU2010-281
This paper presents a novel method for gait-based person identification robust to changes in appearance. Gait is sensit... [more] PRMU2010-281
pp.259-263
PRMU, HIP 2010-03-15
11:20
Kagoshima Kagoshima Univ. Person identification using affine moment invariants
Yumi Iwashita, Ryo Kurazume (Kyushu Univ.) PRMU2009-246 HIP2009-131
Gait is one of biometrics which offer the possibility to identify people at a distance, without any interaction or co-op... [more] PRMU2009-246 HIP2009-131
pp.79-84
DE 2006-07-12
14:25
Niigata HOTEL SENKEI Database Design of the Gait Experiment Data for "Digital Patients"
Hisashi Fujiwara (Kyushu Univ.), Akifumi Makinouchi (Kurume Inst. Tech), Kunihiko Kaneko (Kyushu Univ.)
We are now developing a database to apply digital human technology to medical areas. The system is called “Digital Patie... [more] DE2006-37
pp.91-96
 Results 1 - 10 of 10  /   
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