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| Presentation | 2019-10-18 10:30 Recognition of a Shogi phase image taken with a smartphone Akira Sato, Kei Morizumi, Ikuko Shimizu, Masaki Nakagawa (TUAT)  PRMU2019-33 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper reports recognition of Shogi phase images captured by a smartphone and transferred to our server. In these days, Shogi is played by a lot of people and some “Shogi AI” are available for evaluating Shogi phases. In order to use them, however, the users must input configurations of pieces in a Shogi phase to them, which takes time and effort. Our system is aimed to solve this problem. It has three parts: the detector of a Shogi board, the recognizer of Shogi pieces on the board and the recognizer of Shogi pieces beside the board. This system achieves 90% detection of the board by LSD, 99% recognition of pieces on a board by CNN, 73% precision of pieces and 97% recall of pieces beside the board by YOLOv3. We are availing this system for free. There remains work to improve the performance through accumulating data and analyzing problems revealed. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Machine Learning / Convolutional Neural Network / Shogi / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 235, PRMU2019-33, pp. 11-15, Oct. 2019. | |
| Paper # | PRMU2019-33 | |
| Date of Issue | 2019-10-11 (PRMU) | |
| 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 | PRMU2019-33 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2019-10-18 - 2019-10-19 |
| 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 | 2019-10-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Recognition of a Shogi phase image taken with a smartphone |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | Convolutional Neural Network |
| Keyword(3) | Shogi |
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| 1st Author's Name | Akira Sato |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name | Kei Morizumi |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 3rd Author's Name | Ikuko Shimizu |
| 3rd Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 4th Author's Name | Masaki Nakagawa |
| 4th Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
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| Speaker | Author-1 |
| Date Time | 2019-10-18 10:30:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2019-33 |
| Volume (vol) | vol.119 |
| Number (no) | no.235 |
| Page | pp.11-15 |
| #Pages | 5 |
| Date of Issue | 2019-10-11 (PRMU) |
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