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Paper Abstract and Keywords
Presentation 2021-08-26 10:45
Consideration of primitive action set towards improving activity recognition
Satoshi Nishimura, Shusaku Egami, Ken Fukuda (AIST) PRMU2021-10
Abstract (in Japanese) (See Japanese page) 
(in English) Lots of datasets for activity recognition have been developed. Charades, for instance, provides the term "Throwing a broom somewhere" that includes an object whose state is changed before and after the activity. However, such labeling causes learning the feature of the object rather than the activity itself. Sigurdsson et al, pointed out that the current deep neural network approach can misrecognize the different activities whose object is shared, such as "Holding a broom." We aim to construct a primitive action set as a controlled label set that abstracts the activities from the object and its interpretation. The proposed label set contains 88 terms, and we evaluated its coverage by using three datasets for activity recognition. This paper also provides a plan to evaluate activity recognition accuracy by using the proposed label set.
Keyword (in Japanese) (See Japanese page) 
(in English) Activity recognition / Controlled vocabulary / Ontology / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 155, PRMU2021-10, pp. 19-23, Aug. 2021.
Paper # PRMU2021-10 
Date of Issue 2021-08-19 (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)
Download PDF PRMU2021-10

Conference Information
Committee PRMU  
Conference Date 2021-08-26 - 2021-08-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) CV/PR techniques for human-robot cooperation 
Paper Information
Registration To PRMU 
Conference Code 2021-08-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Consideration of primitive action set towards improving activity recognition 
Sub Title (in English)  
Keyword(1) Activity recognition  
Keyword(2) Controlled vocabulary  
Keyword(3) Ontology  
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1st Author's Name Satoshi Nishimura  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST) (AIST)
2nd Author's Name Shusaku Egami  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST) (AIST)
3rd Author's Name Ken Fukuda  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST) (AIST)
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Speaker Author-1 
Date Time 2021-08-26 10:45:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2021-10 
Volume (vol) vol.121 
Number (no) no.155 
Page pp.19-23 
#Pages 5 
Date of Issue 2021-08-19 (PRMU) 

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