Paper Abstract and Keywords |
Presentation |
2016-02-21 09:30
Fish Image Recognition using Convolutional Neural Network Kentaro Wakisaka, Takeshi Saitoh (kyutech) PRMU2015-132 CNR2015-33 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We are studying on development of image-based fish identification system. Most traditional researches use the geometric features or texture features designed by manual design. And to extract correct fish region and calculate features, traditional researches require several restrictions, such as take a fish image with a white or uniform background, give several feature points by manual operation. To solve these problems, this paper proposes a fish image recognition method using convolutional neural network which attracts attention in recent years. Three methods based on CNN are applied to our image data set contained 129 fish species. As a result, the method to extract the features from an intermediate layer in CNN which learned by fine-tuning and classify by SVM obtained the highest recognition accuracy. Furthermore, it is found that this accuracy is same as hand-craft approach of our previous study. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Convolutional neural network / SVM / fish image / Caffenet / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 456, PRMU2015-132, pp. 1-5, Feb. 2016. |
Paper # |
PRMU2015-132 |
Date of Issue |
2016-02-14 (PRMU, CNR) |
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) |
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PRMU2015-132 CNR2015-33 |
Conference Information |
Committee |
PRMU CNR |
Conference Date |
2016-02-21 - 2016-02-22 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2016-02-PRMU-CNR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Fish Image Recognition using Convolutional Neural Network |
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Convolutional neural network |
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SVM |
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fish image |
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Caffenet |
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1st Author's Name |
Kentaro Wakisaka |
1st Author's Affiliation |
Kyushu Institute of Technology (kyutech) |
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Takeshi Saitoh |
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Kyushu Institute of Technology (kyutech) |
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Speaker |
Author-1 |
Date Time |
2016-02-21 09:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2015-132, CNR2015-33 |
Volume (vol) |
vol.115 |
Number (no) |
no.456(PRMU), no.457(CNR) |
Page |
pp.1-5 |
#Pages |
5 |
Date of Issue |
2016-02-14 (PRMU, CNR) |
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