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| Presentation | 2019-03-08 14:20 Examination of eye-camera image analysis method using Mask R-CNN Yuto Yoshikawa, Yukikazu Murakami (NIT, Kagawa), Kazuaki Shiraishi, Gai Shibahara (NIT,Toba)  LOIS2018-76 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, opportunities for new farmers to receive direct guidance from experienced farmers have been decreasing due to the decrease in Japanese farmer's population and aging. As a result, the development of farm work manuals has become more important. However, many conventional farm work manuals are composed only of sentences and images. Therefore it was difficult for new farmers who had little experience to intuitively understand. So, our research group has proposed "Web-based agricultural knowledge inheritance manual" using eye camera. However, there was a problem that "The burden of creation is great" in the proposed manual. To solve this problem, we clarified the object in the image using Mask R - CNN which is one of object instance segmentation algorithms. By superimposing it on eye-gaze data of eye-camera, we examined a method to automatically document sentence which experienced farmers were what watching at that moment. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Agriculture / Object Instance Segmentation Algorithms / Mask R-CNN / Eye-Camera / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 485, LOIS2018-76, pp. 121-125, March 2019. | |
| Paper # | LOIS2018-76 | |
| Date of Issue | 2019-02-28 (LOIS) | |
| 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 | LOIS2018-76 |
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| Conference Information | |
| Committee | LOIS |
| Conference Date | 2019-03-07 - 2019-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Miyakojima-shi Central Community Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2019-03-LOIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Examination of eye-camera image analysis method using Mask R-CNN |
| Sub Title (in English) | |
| Keyword(1) | Agriculture |
| Keyword(2) | Object Instance Segmentation Algorithms |
| Keyword(3) | Mask R-CNN |
| Keyword(4) | Eye-Camera |
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| 1st Author's Name | Yuto Yoshikawa |
| 1st Author's Affiliation | National Institute of Technology, Kagawa College (NIT, Kagawa) |
| 2nd Author's Name | Yukikazu Murakami |
| 2nd Author's Affiliation | National Institute of Technology, Kagawa College (NIT, Kagawa) |
| 3rd Author's Name | Kazuaki Shiraishi |
| 3rd Author's Affiliation | National Institude of Technology, Toba College (NIT,Toba) |
| 4th Author's Name | Gai Shibahara |
| 4th Author's Affiliation | National Institude of Technology, Toba College (NIT,Toba) |
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| Speaker | Author-1 |
| Date Time | 2019-03-08 14:20:00 |
| Presentation Time | 25 minutes |
| Registration for | LOIS |
| Paper # | LOIS2018-76 |
| Volume (vol) | vol.118 |
| Number (no) | no.485 |
| Page | pp.121-125 |
| #Pages | 5 |
| Date of Issue | 2019-02-28 (LOIS) |
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