Presentation 2022-03-11
Identifying a Person Wearing a Surgical Gown from Video Images Using Skeletal Information and Deep Learning
Shuhei Fujii, Hiroshi Nagahashi, Ken Masamune, Jun Ohya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The identification of a person in a video image is very important for video analysis and biometric authentication. In this study, we propose a method for identifying a person wearing surgical gown. In this study, we propose a method for identifying a person wearing surgical gowns. The method consists of two-dimensional and three-dimensional pose estimation using deep learning, and skeletal information is extracted from the estimated poses. The features extracted by applying linear discriminant analysis to this skeletal information are used as input to identify individuals without depending on their clothing. In this study, discrimination experiments were conducted on 20 subjects, and from the results, the best multi-class classification method for discrimination was determined, and the proposed method achieved a discrimination accuracy of over 85%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # PRMU2021-80
Date of Issue 2022-03-03 (PRMU)

Conference Information
Committee PRMU / IPSJ-CVIM
Conference Date 2022/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Differentiable rendering
Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Masakazu Iwamura(Osaka Pref. Univ.) / Mitsuru Anpai(Denso IT Lab.)
Secretary Masakazu Iwamura(NTT) / Mitsuru Anpai(Tottori Univ.)
Assistant Kouta Yamaguchi(CyberAgent) / Yusuke Matsui(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Identifying a Person Wearing a Surgical Gown from Video Images Using Skeletal Information and Deep Learning
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
1st Author's Name Shuhei Fujii
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Hiroshi Nagahashi
2nd Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
3rd Author's Name Ken Masamune
3rd Author's Affiliation Tokyo Women's Medical University(Tokyo Women's Medical Univ.)
4th Author's Name Jun Ohya
4th Author's Affiliation Waseda University(Waseda Univ.)
Date 2022-03-11
Paper # PRMU2021-80
Volume (vol) vol.121
Number (no) PRMU-427
Page pp.pp.127-132(PRMU),
#Pages 6
Date of Issue 2022-03-03 (PRMU)