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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| BioX | 2023-10-12 15:45 |
Okinawa | Nobumoto Ohama Memorial Hall | A Study on Personal Identification System Based on Features Extracted from Joint Movement of Everyday Actions Michiya Ishimoto, Bo Wu, Kiminori Sato (TUT)  BioX2023-61 |
Purpose of this research is to develop a personal identification system which uses features extracted from everyday acti... [more] | BioX2023-61 pp.16-20 |
| EMM | 2023-03-02 14:30 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Gait Analysis Focusing on Operating Characteristics at Feature Points Detected by OpenPose Chinatsu Tanaka, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EMM2022-83 |
A person's walking motion contains a variety of information, such as age and gender. Gait verification, which uses the i... [more] | EMM2022-83 pp.84-88 |
| 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 |
| NLP, CAS | 2019-10-22 15:30 |
Gifu | Gifu Univ. | Consideration of input data in person recognition by gait using Extreme Learning Machine Hayato Benitani, Masaharu Adachi (Tokyo Denki Univ.) CAS2019-34 NLP2019-74 |
In this research, we consider a method of person recognition using an Extreme Learning Machine (ELM) whose inputs are Ga... [more] | CAS2019-34 NLP2019-74 pp.55-60 |
| BioX | 2019-10-04 09:50 |
Okinawa | Gait feature extractor incorporation of additional labels Kousuke Moriwaki, Daigo Muramatsu, Noriko Takemura, Yasushi Yagi (Osaka Univ.) BioX2019-61 |
In personal authentication using convolutional neural network, extra labels are often incorporated together with subject... [more] | BioX2019-61 pp.31-35 |
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| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 16:25 |
Okayama | Inter-frame interpolation by height constraint for sequential human silhouette images
-- Application to forensic gait analysis under low frame-rate condition -- Daisuke Imoto, Kenji Kurosawa, Masakatsu Honma, Ryo Yokota, Manato Hirabayashi, Yoshinori Hawai (NRIPS) PRMU2019-19 MI2019-38 |
Boundary information is important for defining the shape of an object or a person as a first approximation, and widely u... [more] | PRMU2019-19 MI2019-38 pp.43-48 |
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| PRMU, BioX | 2019-03-18 10:00 |
Tokyo | A Study of Comparison of Learning Algorithms for Pedestrian Identification Using 3-Axis Accelerometer of Smartphone Meng Cui, Yuji Watanabe (Nagoya City Univ.) BioX2018-48 PRMU2018-152 |
We have acquired triaxial acceleration from a smartphone device and have identified subjects during walking． In the prev... [more] | BioX2018-48 PRMU2018-152 pp.113-118 |
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| 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 |
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| PRMU, BioX | 2019-03-18 16:10 |
Tokyo | [Invited Talk]
Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition (BTAS 2018) Yasushi Makihara, Gakuto Ogi, Yasushi Yagi (Osaka Univ.) BioX2018-66 PRMU2018-170 |
In the gait recognition community, silhouette-based gait representations such as gait energy image have been widely empl... [more] | BioX2018-66 PRMU2018-170 p.207 |
|
| 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 |
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| 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 |
| BioX | 2018-10-12 09:00 |
Okinawa | Nobumoto Ohama Memorial Hall | Extraction of gait information and authentication by an infrared sensor network Shumpei Tsubakino, Mineichi Kudo (Hokkaido Univ.) BioX2018-25 |
We have improved a system that distinguishes persons from their gait measured by a ceiling infrared sensor network. The ... [more] | BioX2018-25 pp.33-38 |
| BioX | 2018-10-12 10:00 |
Okinawa | Nobumoto Ohama Memorial Hall | Evaluation for individuality of intermediate output from CNN-based gait classification network Kousuke Moriwaki, Daigo Muramatsu, Noriko Takemura, Yasushi Yagi (Osaka Univ.) BioX2018-27 |
In personal authentication using convolutional neural network, we often use attribute information besides input's person... [more] | BioX2018-27 pp.45-49 |
| PRMU, BioX | 2018-03-19 16:30 |
Tokyo | A Study of Comparison of Smart Phone Devices on Gait Recognition Using Devices Accelerometer Yizuou Chen, Yuji Watanabe (Nagoya City Univ.) BioX2017-70 PRMU2017-206 |
In this study, we compare gait recognition by some smart phone devices. We first collect 3-axes acceleration data for 19... [more] | BioX2017-70 PRMU2017-206 pp.201-206 |
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| BioX | 2017-10-12 15:35 |
Okinawa | Nobumoto Ohama Memorial Hall | Performance Evaluation of Gait Recognition by Metric Learning using Joint Intensity Histogram Yushiro Kashimoto, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2017-28 |
We evaluate the performance of gait recognition algorithm using metric learning based on log-likelihood ratio of joint i... [more] | BioX2017-28 pp.17-22 |
| PRMU, BioX | 2017-03-20 10:00 |
Aichi | Robust Gait Recognition for Carrying-Status by SVM-based Metric Learning using Joint Intensity Histogram Atsuyuki Suzuki, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2016-37 PRMU2016-200 |
This paper describes a method of joint intensity metric learning to improve the robustness of gait recognition under car... [more] | BioX2016-37 PRMU2016-200 pp.23-28 |
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| 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 |
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| BioX | 2016-08-18 16:40 |
Miyagi | Effect of Feature Selection for Gait Recognition on 5 Walking States Using Android Device Yuji Watanabe, Sara San (Nagoya City Univ.) BioX2016-12 |
In our previous study, we collected gait data using an Android application when 8 subjects walked in the following 5 wal... [more] | BioX2016-12 pp.27-32 |
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| PRMU, BioX | 2016-03-25 10:15 |
Tokyo | Cross-view Gait Recognition using Convolutional Neural Network Kohei Shiraga, Yasushi Makihara, Daigo Muramatsu (Osaka Univ.), Tomio Echigo (Osaka Electro-Communication Univ.), Yasushi Yagi (Osaka Univ.) BioX2015-57 PRMU2015-180 |
We propose a robust cross-view gait recognition method employing a convolutional neural network (CNN) in this paper. We ... [more] | BioX2015-57 PRMU2015-180 pp.87-92 |
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| 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 |
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