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| Presentation | 2021-11-15 13:30 [Poster Presentation] Improving a tracking accuracy using Artificial Fiber Patterns by introducing Wrinkle on clothes and body shape determination Hiroki Urakawa, Kitahiro Kaneda, Keiichi Iwamura (TUS)  EA2021-38 EMM2021-65 |
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| 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 it is affected by the body shape of the wearer and wrinkles of the clothes. In this study, we combined PIFu HD, a technology that generates a full 3D model from a single image of a person, with modeling and calculation of the body shape of the subject to verify the conditions under which the body shape of the wearer and wrinkles in the clothes affect the accuracy. As a result, we achieved the precision improvement by removing data that met the bad conditions. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Data Hiding / Surveillance camera / Deep Learning / Artificial Fiber Pattern / Object Detection / Image Reconstruction / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 247, EMM2021-65, pp. 63-68, Nov. 2021. | |
| Paper # | EMM2021-65 | |
| Date of Issue | 2021-11-08 (EA, 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 | EA2021-38 EMM2021-65 |
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| Conference Information | |
| Committee | EMM EA ASJ-H |
| Conference Date | 2021-11-15 - 2021-11-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | [Beginners Session] Engineering/Electro Acoustics, Content Processing, Digital Watermarking, Psychological and Physiological Acoustics, and Related Topics |
| Paper Information | |
| Registration To | EMM |
| Conference Code | 2021-11-EMM-EA-H |
| 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 introducing Wrinkle on clothes and body shape determination |
| Sub Title (in English) | |
| Keyword(1) | Data Hiding |
| Keyword(2) | Surveillance camera |
| Keyword(3) | Deep Learning |
| Keyword(4) | Artificial Fiber Pattern |
| Keyword(5) | Object Detection |
| Keyword(6) | Image Reconstruction |
| Keyword(7) | |
| Keyword(8) | |
| 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 | 2021-11-15 13:30:00 |
| Presentation Time | 120 minutes |
| Registration for | EMM |
| Paper # | EA2021-38, EMM2021-65 |
| Volume (vol) | vol.121 |
| Number (no) | no.246(EA), no.247(EMM) |
| Page | pp.63-68 |
| #Pages | 6 |
| Date of Issue | 2021-11-08 (EA, EMM) |
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