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Paper Abstract and Keywords
Presentation 2020-03-09 15:20
Improvement of generalization performance in fish species discrimination and catch prediction using echo sounder images
Yuto Mori, Keiji Suzuki, Masaaki Wada (FUN) AI2019-63
Abstract (in Japanese) (See Japanese page) 
(in English) A Set-Net fishery has various problems. One of the problems is that it is difficult to cope with fishing restrictions for specific fish species. This is because we do not know the type of fish and the amount of catch until the net is lifted from the sea. In the current fishery, the images of the fish are grasped by the fish finder. A system to estimate the fish species and catch is not established. It has become clear that previous studies cannot perform learning to improve generalization performance. In this study, the problems were clarified in the learning of fish species discrimination up to now by the experiment using a training data division method and artificial echo images. In addition, the possibility of catch prediction is examined by performing multi-class classification using the created clusters.
Keyword (in Japanese) (See Japanese page) 
(in English) Fish finder / Set net fishery / Clustering / Deep learning / Fish species discrimination / Fish catch prediction / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 469, AI2019-63, pp. 55-60, March 2020.
Paper # AI2019-63 
Date of Issue 2020-03-01 (AI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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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Conference Information
Committee AI IPSJ-ICS JSAI-SAI JSAI-DOCMAS JSAI-KBS  
Conference Date 2020-03-08 - 2020-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Workshop of Social System and Information Technology (WSSIT20) 
Paper Information
Registration To AI 
Conference Code 2020-03-AI-ICS-SAI-DOCMAS-KBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of generalization performance in fish species discrimination and catch prediction using echo sounder images 
Sub Title (in English)  
Keyword(1) Fish finder  
Keyword(2) Set net fishery  
Keyword(3) Clustering  
Keyword(4) Deep learning  
Keyword(5) Fish species discrimination  
Keyword(6) Fish catch prediction  
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Keyword(8)  
1st Author's Name Yuto Mori  
1st Author's Affiliation Future University Hakodate (FUN)
2nd Author's Name Keiji Suzuki  
2nd Author's Affiliation Future University Hakodate (FUN)
3rd Author's Name Masaaki Wada  
3rd Author's Affiliation Future University Hakodate (FUN)
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Speaker
Date Time 2020-03-09 15:20:00 
Presentation Time 20 
Registration for AI 
Paper # IEICE-AI2019-63 
Volume (vol) IEICE-119 
Number (no) no.469 
Page pp.55-60 
#Pages IEICE-6 
Date of Issue IEICE-AI-2020-03-01 


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