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Paper Abstract and Keywords
Presentation 2024-03-03 09:36
Sign language recognition using subspace representations
Ryota Sato, Suzana Rita Alves Beleza (Univ. of Tsukuba), Erica Kido Shimomoto (AIST), Matheus Silva de Lima (Univ. of Tsukuba), Nobuko Kato (Tsukuba Univ. of Technology), Kazuhiro Fukui (Univ. of Tsukuba) PRMU2023-54
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a subspace-based method for sign language recognition in videos.
The proposed method represents a sign video as a 3D amplitude spectrum tensor on the frequency-domains, which is invariant to the shifts in the spatial and temporal directions of target objects. Such a 3D tensor is generated by applying the three-dimensional fast Fourier transform (3D-FFT) to a sign video. A 3D amplitude spectral tensor is regarded as one point on the Product Grassmann Manifold (PGM). The classification of videos is conducted based on the distance between two points corresponding to two videos on the PGM.
The extensive experiments on private and public sign language recognition datasets demonstrated the effectiveness of the proposed method, showing a significant performance improvement over conventional subspace-based methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Sign Language Recognition / 3D Fast Fourier Transform / Product Grassmann Manifold / Subspace-based Methods / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 409, PRMU2023-54, pp. 19-24, March 2024.
Paper # PRMU2023-54 
Date of Issue 2024-02-25 (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 PRMU2023-54

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2024-03-03 - 2024-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima Univ. Higashi-Hiroshima campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2024-03-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sign language recognition using subspace representations 
Sub Title (in English)  
Keyword(1) Sign Language Recognition  
Keyword(2) 3D Fast Fourier Transform  
Keyword(3) Product Grassmann Manifold  
Keyword(4) Subspace-based Methods  
Keyword(5)  
Keyword(6)  
Keyword(7)  
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1st Author's Name Ryota Sato  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Suzana Rita Alves Beleza  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
3rd Author's Name Erica Kido Shimomoto  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Matheus Silva de Lima  
4th Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
5th Author's Name Nobuko Kato  
5th Author's Affiliation Tsukuba University of Technology (Tsukuba Univ. of Technology)
6th Author's Name Kazuhiro Fukui  
6th Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2024-03-03 09:36:00 
Presentation Time 12 minutes 
Registration for PRMU 
Paper # PRMU2023-54 
Volume (vol) vol.123 
Number (no) no.409 
Page pp.19-24 
#Pages 6 
Date of Issue 2024-02-25 (PRMU) 

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