Paper Abstract and Keywords |
Presentation |
2018-12-14 11:00
[Short Paper]
Skeleton-based Human Action Recognition with Fine-to-Coarse Convolutional Neural Network Thao Minh Le, Nakamasa Inoue, Koichi Shinoda (TokyoTech) PRMU2018-86 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This work introduces a new framework for skeleton-based human action recognition. Existing approaches using Convolutional Neural Network (CNN) often suffer from the insufficiency problem of training data. In this study, we utilize a fine-to-coarse (F2C) CNN architecture that is come up based on the special structure of human skeletal data. We evaluate our proposed method on two skeletal datasets publicly available, namely NTU RGB+D and SBU Kinect Interaction dataset. It achieves 79.6% and 84.6% of accuracies on NTU RGB+D with cross-object and cross-view protocol, respectively, which are almost identical with the state-of-the-art performance. In addition, our method significantly improves the accuracy of the actions in two-person interactions. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Action Recognition / Deep Learning / / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 362, PRMU2018-86, pp. 61-64, Dec. 2018. |
Paper # |
PRMU2018-86 |
Date of Issue |
2018-12-06 (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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PRMU2018-86 |
Conference Information |
Committee |
PRMU |
Conference Date |
2018-12-13 - 2018-12-14 |
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(See Japanese page) |
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Registration To |
PRMU |
Conference Code |
2018-12-PRMU |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
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Title (in English) |
Skeleton-based Human Action Recognition with Fine-to-Coarse Convolutional Neural Network |
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Action Recognition |
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Deep Learning |
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1st Author's Name |
Thao Minh Le |
1st Author's Affiliation |
Tokyo Institute of Technology (TokyoTech) |
2nd Author's Name |
Nakamasa Inoue |
2nd Author's Affiliation |
Tokyo Institute of Technology (TokyoTech) |
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Koichi Shinoda |
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Tokyo Institute of Technology (TokyoTech) |
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Speaker |
Author-2 |
Date Time |
2018-12-14 11:00:00 |
Presentation Time |
15 minutes |
Registration for |
PRMU |
Paper # |
PRMU2018-86 |
Volume (vol) |
vol.118 |
Number (no) |
no.362 |
Page |
pp.61-64 |
#Pages |
4 |
Date of Issue |
2018-12-06 (PRMU) |
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