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| Presentation | 2014-12-19 11:35 Count The Number of Same Shape Objects in A Snap Image using SOM Yuriko Tsunoda, Kouichirou Hayashi, Hideaki Kawano, Hiroshi Maeda (Kyutech)  SIS2014-84 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Currently, autonomous robots are studied in various fields. To robot act autonomously, it is important to recognize the object number from the surrounding environment. Thus, simple and easy way to enumerate the objects automatically has been expected. In this study we propose a method to recognize the number of objects in image. To achieve robustness against spatial transformation, such as translation, rotation, and scaling, scale-invariant feature transform (SIFT) is employed as a feature. In order to count the number of objects from feature, we use cluster analysis by SOM. To show the effectiveness, the proposed method is applied to an image containing everyday objects. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | self0organizing feature map / cluster analysis / SIFT features / object counting / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 370, SIS2014-84, pp. 99-102, Dec. 2014. | |
| Paper # | SIS2014-84 | |
| Date of Issue | 2014-12-11 (SIS) | |
| 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 | SIS2014-84 |
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| Conference Information | |
| Committee | SIS |
| Conference Date | 2014-12-18 - 2014-12-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Research Park (Kyoto City) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System on Silicon, Short Distance Wireless Communication Application Systems, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2014-12-SIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Count The Number of Same Shape Objects in A Snap Image using SOM |
| Sub Title (in English) | |
| Keyword(1) | self0organizing feature map |
| Keyword(2) | cluster analysis |
| Keyword(3) | SIFT features |
| Keyword(4) | object counting |
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| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Yuriko Tsunoda |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Kouichirou Hayashi |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 3rd Author's Name | Hideaki Kawano |
| 3rd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 4th Author's Name | Hiroshi Maeda |
| 4th Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
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| Speaker | Author-1 |
| Date Time | 2014-12-19 11:35:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2014-84 |
| Volume (vol) | vol.114 |
| Number (no) | no.370 |
| Page | pp.99-102 |
| #Pages | 4 |
| Date of Issue | 2014-12-11 (SIS) |
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