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Paper Abstract and Keywords
Presentation 2019-03-18 14:55
[Short Paper] Pose Estimation of Power Shovels with OpenPose Like Architecture
Hinako Nakamura, Yumeno Tsukada, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) BioX2018-64 PRMU2018-168
Abstract (in Japanese) (See Japanese page) 
(in English) In current pose estimation studies, bottom-up approaches estimating the pose from detected parts of the bodies and their relations have been major methods. This approach enabled us fast and accurate pose estimation. In other hands, there could be many fields that the pose estimation could be applied. In this paper, we propose a bottom-up method for power shovel pose estimation.For pose estimation, we generate ground truth confidence maps according to the annotation, and evaluate loss function for training. We evaluated the model by calculating the loss between the estimated map and true map.
Keyword (in Japanese) (See Japanese page) 
(in English) Pose Estimation / Deep Learning / Power Shovel / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 513, PRMU2018-168, pp. 201-203, March 2019.
Paper # PRMU2018-168 
Date of Issue 2019-03-10 (BioX, 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 BioX2018-64 PRMU2018-168

Conference Information
Committee PRMU BioX  
Conference Date 2019-03-17 - 2019-03-18 
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 2019-03-PRMU-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pose Estimation of Power Shovels with OpenPose Like Architecture 
Sub Title (in English)  
Keyword(1) Pose Estimation  
Keyword(2) Deep Learning  
Keyword(3) Power Shovel  
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1st Author's Name Hinako Nakamura  
1st Author's Affiliation Hiroshima University (Hiroshima Univ.)
2nd Author's Name Yumeno Tsukada  
2nd Author's Affiliation Hiroshima University (Hiroshima Univ.)
3rd Author's Name Toru Tamaki  
3rd Author's Affiliation Hiroshima University (Hiroshima Univ.)
4th Author's Name Bisser Raytchev  
4th Author's Affiliation Hiroshima University (Hiroshima Univ.)
5th Author's Name Kazufumi Kaneda  
5th Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2019-03-18 14:55:00 
Presentation Time 10 minutes 
Registration for PRMU 
Paper # BioX2018-64, PRMU2018-168 
Volume (vol) vol.118 
Number (no) no.512(BioX), no.513(PRMU) 
Page pp.201-203 
#Pages 3 
Date of Issue 2019-03-10 (BioX, PRMU) 

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