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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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 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
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
 Results 1 - 7 of 7  /   
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