Presentation 2019-03-04
The way of Automatic Extraction of Human activity from motion video and Simulation method of extracted human activity by using Deep Learning
Kenichi Koike, Hiroki Satou, Daiji Ogasawara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In the field of maintenance work, inexperienced worker's aid is a most important issue. We propose a method of extracting human motion from motion video. We propose a modeling method of extracted motion by using deep learning technology and a simulation method. We present effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Motion Capture / Video / Deep Learning / Simulate / Improvement
Paper # NC2018-53
Date of Issue 2019-02-25 (NC)

Conference Information
Committee NC / MBE
Conference Date 2019/3/4(3days)
Place (in Japanese) (See Japanese page)
Place (in English) University of Electro Communications
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yutaka Hirata(Chubu Univ.) / Masaki Kyoso(TCU)
Vice Chair Hayaru Shouno(UEC) / Taishin Nomura(Osaka Univ.)
Secretary Hayaru Shouno(Nagoya Univ.) / Taishin Nomura(NAIST)
Assistant Keiichiro Inagaki(Chubu Univ.) / Takashi Shinozaki(NICT) / Takumi Kobayashi(YNU) / Yasuyuki Suzuki(Osaka Univ.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The way of Automatic Extraction of Human activity from motion video and Simulation method of extracted human activity by using Deep Learning
Sub Title (in English)
Keyword(1) Motion Capture
Keyword(2) Video
Keyword(3) Deep Learning
Keyword(4) Simulate
Keyword(5) Improvement
Keyword(6)
1st Author's Name Kenichi Koike
1st Author's Affiliation Mitsubishi Electric Information Systems Corporation(MDIS)
2nd Author's Name Hiroki Satou
2nd Author's Affiliation Mitsubishi Electric Information Systems Corporation(MDIS)
3rd Author's Name Daiji Ogasawara
3rd Author's Affiliation Mitsubishi Electric Information Systems Corporation(MDIS)
Date 2019-03-04
Paper # NC2018-53
Volume (vol) vol.118
Number (no) NC-470
Page pp.pp.55-60(NC),
#Pages 6
Date of Issue 2019-02-25 (NC)