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Paper Abstract and Keywords
Presentation 2020-01-27 15:45
Extraction of Artificial Fiber Pattern from Video Using Deep Learning technique
Noda Tomo, Kaneda Kitahiro, Iwamura Keiichi (Tokyo Univ. of Science) EMM2019-100
Abstract (in Japanese) (See Japanese page) 
(in English) We are studying the realization of a human monitoring system that collects human movements by detecting a unique ID embedded in daily necessities such as clothing through multiple surveillance cameras. In previous research, we proposed an information embedding method that can recognize changes in content but has low visibility , and realized information embedding in fiber materials. This is defined as an artificial fiber pattern. In this paper, we selected T-shirts, which are generally used as a medium for embedding the artificial fiber pattern, and verified the embedding potential. In addition, we realized an end to end system that extracts information from surveillance camera images by using deep learning. As a result, By majority decision between frames, we achieved 100% extraction rate under specific conditions. This makes it possible to distinguish clothes of the same color, which were difficult to recognize with conventional object detection technology.
Keyword (in Japanese) (See Japanese page) 
(in English) Data Hiding / Artificial Fiber Pattern / Deep Learning / Object Detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 396, EMM2019-100, pp. 31-36, Jan. 2020.
Paper # EMM2019-100 
Date of Issue 2020-01-20 (EMM) 
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 EMM  
Conference Date 2020-01-27 - 2020-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sense of Presence, Universal Media, Digital Entertainment, etc. 
Paper Information
Registration To EMM 
Conference Code 2020-01-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of Artificial Fiber Pattern from Video Using Deep Learning technique 
Sub Title (in English)  
Keyword(1) Data Hiding  
Keyword(2) Artificial Fiber Pattern  
Keyword(3) Deep Learning  
Keyword(4) Object Detection  
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1st Author's Name Noda Tomo  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Kaneda Kitahiro  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Iwamura Keiichi  
3rd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Speaker Author-1 
Date Time 2020-01-27 15:45:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # EMM2019-100 
Volume (vol) vol.119 
Number (no) no.396 
Page pp.31-36 
#Pages
Date of Issue 2020-01-20 (EMM) 


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