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| Presentation | 2017-10-13 14:20 Robust Human Pose Estimation from Distorted Images Daisuke Miki, Shinya Abe (TIRI)  PRMU2017-93 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Predicting a human pose from an image is a technique used for detection of abnormalities. However, existing motion capture systems need complicated imaging devices such as stereo camera or infrared camera. It is also difficult to recognize an individual’s pose from a short distance using the devices in use today. In this study, we present a robust human pose estimation method using a distorted fisheye image with a device that can capture images from a wide-angle as well as at a close-range. We propose a multi-layered convolutional neural network architecture for estimating an individual’s joint positions and deformation parameters to enable robustness to image distortion. We confirmed the ability of wide-angle and close-range detection through the publicly available datasets. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Human pose estimation / Deep learning / Convolutional neural network / Fisheye image / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 238, PRMU2017-93, pp. 169-174, Oct. 2017. | |
| Paper # | PRMU2017-93 | |
| Date of Issue | 2017-10-05 (PRMU) | |
| ISSN | Print edition: ISSN 0913-5685 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 | PRMU2017-93 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2017-10-12 - 2017-10-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2017-10-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Robust Human Pose Estimation from Distorted Images |
| Sub Title (in English) | |
| Keyword(1) | Human pose estimation |
| Keyword(2) | Deep learning |
| Keyword(3) | Convolutional neural network |
| Keyword(4) | Fisheye image |
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| 1st Author's Name | Daisuke Miki |
| 1st Author's Affiliation | Tokyo Metropolitan Industrial Technology Research Institute (TIRI) |
| 2nd Author's Name | Shinya Abe |
| 2nd Author's Affiliation | Tokyo Metropolitan Industrial Technology Research Institute (TIRI) |
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| Speaker | Author-1 |
| Date Time | 2017-10-13 14:20:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2017-93 |
| Volume (vol) | vol.117 |
| Number (no) | no.238 |
| Page | pp.169-174 |
| #Pages | 6 |
| Date of Issue | 2017-10-05 (PRMU) |
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