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 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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PRMU2019-1 |
Conference Information |
Committee |
PRMU IPSJ-CVIM |
Conference Date |
2019-05-30 - 2019-05-31 |
Place (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 |
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Neural network |
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Calving sign detection |
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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 |
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Waseda University (Waseda Univ.) |
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Tetsuji Ogawa |
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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 |
6 |
Date of Issue |
2019-05-23 (PRMU) |
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