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) |
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BioX2018-64 PRMU2018-168 |
Conference Information |
Committee |
PRMU BioX |
Conference Date |
2019-03-17 - 2019-03-18 |
Place (in Japanese) |
(See Japanese page) |
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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 |
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Keyword(1) |
Pose Estimation |
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Deep Learning |
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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 |
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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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