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Paper Abstract and Keywords
Presentation 2021-03-04 14:00
[Poster Presentation] A study of face detection and its privacy protection in photos taken by wide-angle surveillance camera
Koki Nakai, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Sohei Fujii, Hiroyuki Ishihara (Systems nakashima) EMM2020-69
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a privacy protection system that detects human faces from images taken by a wide-angle camera, which is assumed to be a surveillance camera, and encrypts the detected face area. for face detection , we employ the AdaBoost learning method based on Haar-like features, and the face region is detected from the image captured by the wide-angle camera. Thus, by creating the training data based on face images captured by a wide-angle camera, it is possible to detect faces without losing the detection accuracy even in surveillance cameras. As an encryption for privacy protection, the block-scrambling encryption method is employed. In face detection, it is necessary to reduce the probability of missing a face as much as possible from the viewpoint of privacy protection, while a certain amount of false positives could be sacrificed. In the case of false positives the features of the background color space cannot be retained, and the visual impact is caused in the previous encryption methods. Therefore, in the proposed encryption method, the visual degradation is suppressed by improving the processing of color components. Through simulations, we evaluate the effectiveness of the proposed method in terms of detection accuracy for face detection and visibility and image quality for encryption.
Keyword (in Japanese) (See Japanese page) 
(in English) face detection / block-scrambling encryption / privacy protection / wide-angle camera / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 418, EMM2020-69, pp. 13-18, March 2021.
Paper # EMM2020-69 
Date of Issue 2021-02-25 (EMM) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2021-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study of face detection and its privacy protection in photos taken by wide-angle surveillance camera 
Sub Title (in English)  
Keyword(1) face detection  
Keyword(2) block-scrambling encryption  
Keyword(3) privacy protection  
Keyword(4) wide-angle camera  
1st Author's Name Koki Nakai  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Minoru Kuribayashi  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Nobuo Funabiki  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Sohei Fujii  
4th Author's Affiliation Systems nakashima (Systems nakashima)
5th Author's Name Hiroyuki Ishihara  
5th Author's Affiliation Systems nakashima (Systems nakashima)
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Speaker Author-1 
Date Time 2021-03-04 14:00:00 
Presentation Time 15 minutes 
Registration for EMM 
Paper # EMM2020-69 
Volume (vol) vol.120 
Number (no) no.418 
Page pp.13-18 
Date of Issue 2021-02-25 (EMM) 

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