Paper Abstract and Keywords |
Presentation |
2016-03-24 10:00
Temporal Spotting of Human Actions in Video Based on Voting Framework with a Hierarchical Action Model Keita Hara, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) BioX2015-42 PRMU2015-165 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper focuses on the task of temporal action spotting: temporal segmentation and classification of human actions in video. Existing methods for temporal action spotting can be divided into two types: voting-based and DTW-based. The former is robust to the motions that are unrelated to targets actions, whereas its performance is sensitive to the speed of actions. In contrast, the latter is robust to different action speed but sensitive to the motions unrelated to target actions. In this paper, we propose a method that can deal with both problems by combining voting and DTW. To this end, we introduce a hierarchical action model consisting of frame-wise visual features, target actions, and the intermediate layer called ``motion primitives'' whose length is different.
Our proposed method first converts a sequence of visual features to that of motion primitives using DTW, and then applies a voting-based method, regarding each motion primitive as a unit of time. Experimental results showed that the performance of the proposed method is less degraded by the above two problems compared with existing methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
temporal action spotting / action recognition / temporal action segmentation / motions unrelated to target actions / different speed of action / motion primitives / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 517, PRMU2015-165, pp. 7-12, March 2016. |
Paper # |
PRMU2015-165 |
Date of Issue |
2016-03-17 (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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BioX2015-42 PRMU2015-165 |
Conference Information |
Committee |
PRMU BioX |
Conference Date |
2016-03-24 - 2016-03-25 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2016-03-PRMU-BioX |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Temporal Spotting of Human Actions in Video Based on Voting Framework with a Hierarchical Action Model |
Sub Title (in English) |
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Keyword(1) |
temporal action spotting |
Keyword(2) |
action recognition |
Keyword(3) |
temporal action segmentation |
Keyword(4) |
motions unrelated to target actions |
Keyword(5) |
different speed of action |
Keyword(6) |
motion primitives |
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1st Author's Name |
Keita Hara |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Kazuaki Nakamura |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Noboru Babaguchi |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-03-24 10:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
BioX2015-42, PRMU2015-165 |
Volume (vol) |
vol.115 |
Number (no) |
no.516(BioX), no.517(PRMU) |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2016-03-17 (BioX, PRMU) |
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