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Paper Abstract and Keywords
Presentation 2018-12-14 14:40
Calving sign detection with cattle state-based feature extraction from video frames
Ryosuke Hyodo, Saki Yasuda (Waseda Univ.), Susumu Saito (Waseda Univ./iflab, inc.), Yusuke Okimoto (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./iflab, inc.), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2018-90
Abstract (in Japanese) (See Japanese page) 
(in English) Requirements that camera-based automatic calving sign detection should meet are established and a system satisfying these requirements is successfully designed. Upon deployment of such camera-based detection, the system needs to be 1) working with small data (because calving does not happen frequently), 2) robust to changing environments, and 3) explainable for reasons of the prediction results. However, there requirements are not realistic for end-to-end approaches (i.e., prediction with a single DNN). This study presents a two-stage calving prediction system, in which calving-relevant information obtained by DNN-based feature extractor is taken as inputs to another DNN-based calving sign detector. Experimental comparisons demonstrated that the developed system achieved a calving precision ratio of 80% and a calving recall ratio of 88%.
Keyword (in Japanese) (See Japanese page) 
(in English) neural network / calving prediction / image recognition / precision livestock farming / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 362, PRMU2018-90, pp. 79-84, Dec. 2018.
Paper # PRMU2018-90 
Date of Issue 2018-12-06 (PRMU) 
ISSN 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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Conference Information
Committee PRMU  
Conference Date 2018-12-13 - 2018-12-14 
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 2018-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Calving sign detection with cattle state-based feature extraction from video frames 
Sub Title (in English)  
Keyword(1) neural network  
Keyword(2) calving prediction  
Keyword(3) image recognition  
Keyword(4) precision livestock farming  
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1st Author's Name Ryosuke Hyodo  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Saki Yasuda  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Susumu Saito  
3rd Author's Affiliation Waseda University/inteligent framework, inc. (Waseda Univ./iflab, inc.)
4th Author's Name Yusuke Okimoto  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Teppei Nakano  
5th Author's Affiliation Waseda University/inteligent framework, inc. (Waseda Univ./iflab, inc.)
6th Author's Name Makoto Akabane  
6th Author's Affiliation Waseda University/inteligent framework, inc. (Waseda Univ./iflab, inc.)
7th Author's Name Tetsunori Kobayashi  
7th Author's Affiliation Waseda University (Waseda Univ.)
8th Author's Name Tetsuji Ogawa  
8th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2018-12-14 14:40:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2018-90 
Volume (vol) vol.118 
Number (no) no.362 
Page pp.79-84 
#Pages 6 
Date of Issue 2018-12-06 (PRMU) 

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