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Paper Abstract and Keywords
Presentation 2017-10-13 10:00
Research on Automatic Vermin (Deer) Recognition based on Machine Learning
Takuya Noma, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) PRMU2017-85
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years，damage to crops by vermin such as deer and wild boar is serious. The total damage of agricultural crops in FY2007 was 17.6 billion yen，among which damage amount by deer is approximately 6 billion yen. In order to take measures vermin，this paper proposes automatic deer recognition method using image classification based on machine learning. The authors classify animals other than deer and deer by using BoF (Bag-of-Features) famous for image classification and SVM (Support Vector Machine) with excellent recognition performance as a classifier. Then， it discriminates between males and females with respect to the image recognized as a deer. Experiments using images collected at Akune Oshima showed the effectiveness. In BoF， SIFT， SURF， ORB， KAZE， AKAZE were extracted as local feature quantities. By comparing the recognition accuracy， the authors have studied a system that can recognize deer and selectively identify males and females.
Keyword (in Japanese) (See Japanese page) 
(in English) Deer / Vermin / Image Recognition / Machine Learning / BoF(Bag-of-Features) / SVM(Support Vector Machine) / Deep Learning /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 238, PRMU2017-85, pp. 127-132, Oct. 2017.
Paper # PRMU2017-85 
Date of Issue 2017-10-05 (PRMU) 
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 PRMU2017-85

Conference Information
Committee PRMU  
Conference Date 2017-10-12 - 2017-10-13 
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 2017-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Research on Automatic Vermin (Deer) Recognition based on Machine Learning 
Sub Title (in English)  
Keyword(1) Deer  
Keyword(2) Vermin  
Keyword(3) Image Recognition  
Keyword(4) Machine Learning  
Keyword(5) BoF(Bag-of-Features)  
Keyword(6) SVM(Support Vector Machine)  
Keyword(7) Deep Learning  
Keyword(8)  
1st Author's Name Takuya Noma  
1st Author's Affiliation Kagoshima University (Kagoshima Univ.)
2nd Author's Name Masayuki Kashima  
2nd Author's Affiliation Kagoshima University (Kagoshima Univ.)
3rd Author's Name Shinya Fukumoto  
3rd Author's Affiliation Kagoshima University (Kagoshima Univ.)
4th Author's Name Kiminori Sato  
4th Author's Affiliation Kagoshima University (Kagoshima Univ.)
5th Author's Name Mutsumi Watanabe  
5th Author's Affiliation Kagoshima University (Kagoshima Univ.)
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Speaker Author-1 
Date Time 2017-10-13 10:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2017-85 
Volume (vol) vol.117 
Number (no) no.238 
Page pp.127-132 
#Pages 6 
Date of Issue 2017-10-05 (PRMU) 

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