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%. |
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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 and 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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PRMU2021-80 |
Conference Information |
Committee |
PRMU IPSJ-CVIM |
Conference Date |
2022-03-10 - 2022-03-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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(See Japanese page) |
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Registration To |
PRMU |
Conference Code |
2022-03-PRMU-CVIM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(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.) |
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Jun Ohya |
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Waseda University (Waseda Univ.) |
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Speaker |
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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 |
6 |
Date of Issue |
2022-03-03 (PRMU) |
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