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Paper Abstract and Keywords
Presentation 2019-06-07 09:30
Development and evaluation of habitat observation system of wild bird using UAV and machine learning technologies
Yoshihiro Higashiura, Hiroshi Yamamoto (Ritsumeikan Univ.) IA2019-4 ICSS2019-4
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, agricultural, forestry and fishery are be harmed by wild birds and it has become a significant problem. To prevent and solve this problem, we need a technology to support coexistence rather than repell wild birds from the point of view of ecosystem conservation. Therefore, it has been studied technologies that detect presence of wild birds by analyzing voice data. These voice data is collected by microphones and analyzed by using machine learning. In addition, to verify the ecosystem of wild birds, it requires vocal and visual observation in the field. However, frequent access to the mountain and forest area to collect voice data is a heavy burden for observers. Therefore, in this research, we develop a new observation system that can collect voice data by using UAV(Unmanned Aerial Vehicle) and estimate species and position of wild birds by using machine learning in the embedded system. The embedded system has a microphones that are attached to the UAV that can move freely in a hazardous place. In addition, the estimation accuracy of the position and the species of the wild birds is evaluated by experimental evaluation in a field.
Keyword (in Japanese) (See Japanese page) 
(in English) Localization / Machine Learning / Unmanned Aerial Vehicle / Sound Source Localization / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 69, IA2019-4, pp. 15-20, June 2019.
Paper # IA2019-4 
Date of Issue 2019-05-30 (IA, ICSS) 
ISSN Online edition: ISSN 2432-6380
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 IA ICSS  
Conference Date 2019-06-06 - 2019-06-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Research Institute for Electrical Communication, Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Security, etc. 
Paper Information
Registration To IA 
Conference Code 2019-06-IA-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and evaluation of habitat observation system of wild bird using UAV and machine learning technologies 
Sub Title (in English)  
Keyword(1) Localization  
Keyword(2) Machine Learning  
Keyword(3) Unmanned Aerial Vehicle  
Keyword(4) Sound Source Localization  
1st Author's Name Yoshihiro Higashiura  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Hiroshi Yamamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2019-06-07 09:30:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2019-4, ICSS2019-4 
Volume (vol) vol.119 
Number (no) no.69(IA), no.70(ICSS) 
Page pp.15-20 
Date of Issue 2019-05-30 (IA, ICSS) 

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