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Paper Abstract and Keywords
Presentation 2018-11-16 09:30
Prevention of Unintended Appearance in Photos through Detection of Taking Photo Behavior by Photographer
Yuhi Kaihoko, Manami Kanamaru, Yoshihiro Nagano, Phan Xuan Tan, Eiji Kamioka (SIT) MoNA2018-34 CNR2018-31
Abstract (in Japanese) (See Japanese page) 
(in English) Currently, taking pictures and posting them on Social Networks (SNS) are everyday acts of human. Thus, the privacy has been increasingly a big issue when people can be easily photographed by the others. In order to solve these problems, there are numerous approaches that focus on the photographer side. Meanwhile, the studies relate to the photographed person side have not been carefully investigated yet. Therefore, in this paper, a novel method is proposed in order to prevent appearance in photos from the photographed person side. This method allows detecting smartphone from geometric features using straight line detection without using machine learning. The experimental results demonstrate that the accuracy of smartphone detection is around 53.3%, which is sufficient to show the effectiveness of this proposed method. In addition, the method of prevention of appearance in photos by detecting the behavior the photographer who are trying to take pictures, is also discussed.
Keyword (in Japanese) (See Japanese page) 
(in English) Appearance in photos / Protecting privacy / Taking photos / Smartphone / Image processing / Object detection / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 305, MoNA2018-34, pp. 69-74, Nov. 2018.
Paper # MoNA2018-34 
Date of Issue 2018-11-08 (MoNA, CNR) 
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 MoNA2018-34 CNR2018-31

Conference Information
Committee MoNA IN CNR  
Conference Date 2018-11-15 - 2018-11-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Karatsu Civic Exchange Plaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English) M2M, IoT, Self Organization, Autonomous Distributed Control, Car Area Network, Car-Car network, Car-Road Network, ITS, Big Data Analysis, Cyber Physical System (CPS), Mobile Virtualization, Mobile Application, Cloud Robotics Service, etc. 
Paper Information
Registration To MoNA 
Conference Code 2018-11-MoNA-IN-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Prevention of Unintended Appearance in Photos through Detection of Taking Photo Behavior by Photographer 
Sub Title (in English)  
Keyword(1) Appearance in photos  
Keyword(2) Protecting privacy  
Keyword(3) Taking photos  
Keyword(4) Smartphone  
Keyword(5) Image processing  
Keyword(6) Object detection  
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Keyword(8)  
1st Author's Name Yuhi Kaihoko  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Manami Kanamaru  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
3rd Author's Name Yoshihiro Nagano  
3rd Author's Affiliation Shibaura Institute of Technology (SIT)
4th Author's Name Phan Xuan Tan  
4th Author's Affiliation Shibaura Institute of Technology (SIT)
5th Author's Name Eiji Kamioka  
5th Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2018-11-16 09:30:00 
Presentation Time 25 minutes 
Registration for MoNA 
Paper # MoNA2018-34, CNR2018-31 
Volume (vol) vol.118 
Number (no) no.305(MoNA), no.306(CNR) 
Page pp.69-74(MoNA), pp.75-80(CNR) 
#Pages
Date of Issue 2018-11-08 (MoNA, CNR) 


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