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Paper Abstract and Keywords
Presentation 2018-12-14 10:45
[Short Paper] Calving prediction using behavioral information from video
Kazuma Sugawara (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./IFLab), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2018-85
Abstract (in Japanese) (See Japanese page) 
(in English) This study presents calving prediction methods focusing on cows' pre-calving behaviors and their changes.
Livestock farmers usually assist calving to prevent fatal accidents.
Camera-based, non-contact calving prediction systems therefore are needed from the viewpoints of animal welfare, economic load, and safety for livestock farmers.
The present study attempts to extract information on frequencies of pre-calving behaviors
as well as those of changes in such behaviors using a neural network that captures some of the typical pre-calving actions such as rotations, turns, and step-backs, and exploit such information to detect calving signs using support vector machines.
Experimental comparisons conducted using videos of ten Japanese black beef cows demonstrated that the developed system achieved a precision of 97% and a recall of 82%
for a cow active before calving.
Keyword (in Japanese) (See Japanese page) 
(in English) neural network / action recognition / calving prediction / image recognition / precision livestock farming / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 362, PRMU2018-85, pp. 57-60, Dec. 2018.
Paper # PRMU2018-85 
Date of Issue 2018-12-06 (PRMU) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 prediction using behavioral information from video 
Sub Title (in English)  
Keyword(1) neural network  
Keyword(2) action recognition  
Keyword(3) calving prediction  
Keyword(4) image recognition  
Keyword(5) precision livestock farming  
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1st Author's Name Kazuma Sugawara  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Teppei Nakano  
2nd Author's Affiliation Waseda University/Intelligent Framework Lab (Waseda Univ./IFLab)
3rd Author's Name Makoto Akabane  
3rd Author's Affiliation Waseda University/Intelligent Framework Lab (Waseda Univ./IFLab)
4th Author's Name Tetsunori Kobayashi  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Tetsuji Ogawa  
5th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2018-12-14 10:45:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2018-85 
Volume (vol) vol.118 
Number (no) no.362 
Page pp.57-60 
#Pages
Date of Issue 2018-12-06 (PRMU) 


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