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Paper Abstract and Keywords
Presentation 2021-05-20 15:00
Improving a tracking accuracy using Artificial Fiber Patterns by applying a new image processing method
Hiroki Urakawa, Kitahiro Kaneda, Keiichi Iwamura (TUS) IT2021-4 EMM2021-4
Abstract (in Japanese) (See Japanese page) 
(in English) Due to the low cost of equipment, the number of surveillance cameras installed has increased significantly in recent years, but most of them are not being used effectively.
Specially, if it is possible to track behavior from the obtained images, it is expected to be used for various purposes such as marketing. In our previous research, we proposed a method of tracking by embedding information in “Artificial Fiber Patterns”, but it has a drawback that the accuracy of the method decreases significantly depending on the capturing environment. In this study, we aimed to improve the accuracy by parameter-tuning to the prior image processing used in the previous study and by reconsidering the training data of the deep learning program used for region detection. As a result, the accuracy is almost the same when the training data was reconsidered, but the accuracy is improved applying parameter-tuning to the prior image processing
Keyword (in Japanese) (See Japanese page) 
(in English) Data Hiding / Deep Learning / Artificial Fiber Pattern / Object Detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 29, EMM2021-4, pp. 19-24, May 2021.
Paper # EMM2021-4 
Date of Issue 2021-05-13 (IT, EMM) 
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)
Download PDF IT2021-4 EMM2021-4

Conference Information
Committee EMM IT  
Conference Date 2021-05-20 - 2021-05-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Security, Information Theory, Information Hiding, etc. 
Paper Information
Registration To EMM 
Conference Code 2021-05-EMM-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving a tracking accuracy using Artificial Fiber Patterns by applying a new image processing method 
Sub Title (in English)  
Keyword(1) Data Hiding  
Keyword(2) Deep Learning  
Keyword(3) Artificial Fiber Pattern  
Keyword(4) Object Detection  
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Keyword(6)  
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1st Author's Name Hiroki Urakawa  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Kitahiro Kaneda  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Keiichi Iwamura  
3rd Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2021-05-20 15:00:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # IT2021-4, EMM2021-4 
Volume (vol) vol.121 
Number (no) no.28(IT), no.29(EMM) 
Page pp.19-24 
#Pages 6 
Date of Issue 2021-05-13 (IT, EMM) 

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