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Paper Abstract and Keywords
Presentation 2022-03-11 14:00
Identifying a Person Wearing a Surgical Gown from Video Images Using Skeletal Information and Deep Learning
Shuhei Fujii (Waseda Univ.), Hiroshi Nagahashi (Tokyo Tech), Ken Masamune (Tokyo Women's Medical Univ.), Jun Ohya (Waseda Univ.) PRMU2021-80
Abstract (in Japanese) (See Japanese page) 
(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) 
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Reference Info. IEICE Tech. Rep., vol. 121, no. 427, PRMU2021-80, pp. 127-132, March 2022.
Paper # PRMU2021-80 
Date of Issue 2022-03-03 (PRMU) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2022-03-10 - 2022-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Differentiable rendering 
Paper Information
Registration To PRMU 
Conference Code 2022-03-PRMU-CVIM 
Language Japanese 
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 
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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.)
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Date Time 2022-03-11 14:00:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2021-80 
Volume (vol) vol.121 
Number (no) no.427 
Page pp.127-132 
#Pages
Date of Issue 2022-03-03 (PRMU) 


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