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| Presentation | 2023-03-02 14:30 [Poster Presentation] Human Head Position Detection Using OpenPose for Privacy Protection Ryota Seo, Chinatsu Tanaka, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.)  EMM2022-82 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the development of information technology, surveillance cameras equipped in the city area can be managed via the Internet. Once the device is hacked by a malicious party, private information may be leaked. To cope with this problem, it is necessary to protect the privacy of people who appear in the images captured by surveillance cameras. However, face detection using Haar-Cascade and MTCNN may cause false negative depending on the camera angle, and the detection accuracy also highly affected by distortion caused by cameras with wide-angle lenses. In this study, we propose a hierarchical algorithm by using OpenPose's face detection and keypoints based on skeletal estimation. First, we try to detect faces, and estimate the head position by extending the region of the face. Next, we try to detect keypoints near the face detected by OpenPose's skeleton estimation. If the keypoints near the face cannot be detected, the head position is estimated from the other keypoints such as shoulders and neck. Our simulation results confirm that the proposed method can reduce the false negative rate in various directions compared to the head detection using Haar-Cascade and MTCNN. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | OpenPose / Face detection / Pose estimation / Head position detection / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 412, EMM2022-82, pp. 78-83, March 2023. | |
| Paper # | EMM2022-82 | |
| Date of Issue | 2023-02-23 (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 | EMM2022-82 |
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| Conference Information | |
| Committee | EMM |
| Conference Date | 2023-03-02 - 2023-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukue culture hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EMM |
| Conference Code | 2023-03-EMM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Human Head Position Detection Using OpenPose for Privacy Protection |
| Sub Title (in English) | |
| Keyword(1) | OpenPose |
| Keyword(2) | Face detection |
| Keyword(3) | Pose estimation |
| Keyword(4) | Head position detection |
| Keyword(5) | |
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| 1st Author's Name | Ryota Seo |
| 1st Author's Affiliation | Okayama University (Okayama Univ.) |
| 2nd Author's Name | Chinatsu Tanaka |
| 2nd Author's Affiliation | Okayama University (Okayama Univ.) |
| 3rd Author's Name | Minoru Kuribayashi |
| 3rd Author's Affiliation | Okayama University (Okayama Univ.) |
| 4th Author's Name | Nobuo Funabiki |
| 4th Author's Affiliation | Okayama University (Okayama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-02 14:30:00 |
| Presentation Time | 75 minutes |
| Registration for | EMM |
| Paper # | EMM2022-82 |
| Volume (vol) | vol.122 |
| Number (no) | no.412 |
| Page | pp.78-83 |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (EMM) |
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