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Paper Abstract and Keywords
Presentation 2019-05-30 10:50
Calving sign detection system with cattle physical feature extraction from video frames
Ryosuke Hyodo, Kazuma Sugawara (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./iflab, inc.), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2019-1
Abstract (in Japanese) (See Japanese page) 
(in English) A calving sign detection system using cows' state-based and motion-based features is successfully designed. The developed system exploiting only state-based features was shown to be effective in calving sign detection, but it can not capture a characteristic of movements related to calving signs (e.g., rotate, turn). This study presents a two-stage calving sign detection system, in which calving-relevant state and motion information obtained by multitask CNN-based feature extractor is taken as inputs to another LSTM-based calving sign detector. Experimental comparisons demonstrated that the developed system achieved a calving precision ratio of 83% and a calving recall ratio of 78% and the use of motion-based features helped to improve the accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural network / Calving sign detection / Precision livestock farming / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 64, PRMU2019-1, pp. 1-6, May 2019.
Paper # PRMU2019-1 
Date of Issue 2019-05-23 (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 IPSJ-CVIM  
Conference Date 2019-05-30 - 2019-05-31 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2019-05-PRMU-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Calving sign detection system with cattle physical feature extraction from video frames 
Sub Title (in English)  
Keyword(1) Neural network  
Keyword(2) Calving sign detection  
Keyword(3) 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 Kazuma Sugawara  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Teppei Nakano  
3rd Author's Affiliation Waseda University/inteligent framework, inc. (Waseda Univ./iflab, inc.)
4th Author's Name Makoto Akabane  
4th Author's Affiliation Waseda University/inteligent framework, inc. (Waseda Univ./iflab, inc.)
5th Author's Name Tetsunori Kobayashi  
5th Author's Affiliation Waseda University (Waseda Univ.)
6th Author's Name Tetsuji Ogawa  
6th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2019-05-30 10:50:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2019-1 
Volume (vol) vol.119 
Number (no) no.64 
Page pp.1-6 
#Pages
Date of Issue 2019-05-23 (PRMU) 


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