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Paper Abstract and Keywords
Presentation 2008-07-15 09:55
Study of Recognizing Human Actions Similar to Each Other from a Video Sequence by a Tensor Decomposition Based Approach
Takayuki Hori, Jun Ohya (Waseda Univ.), Jun Kurumisawa (Chiba Univ. of Commerce) IE2008-40 MVE2008-34
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a Tensor Decomposition Based method that can recognize an unknown person’s action from a video sequence, where the unknown person is not included in the database (tensor) used for the recognition. The tensor consists of persons, actions and time-series image features. For the observed unknown person’s action, one of the actions stored in the tensor is assumed. Using the motion signature obtained from the assumption, the unknown person’s actions are synthesized. The actions of one of the persons in the tensor are replaced by the synthesized actions. Then, the core tensor for the replaced tensor is computed. This process is repeated for the actions and persons. For each iteration, the difference between the replaced and original core tensors is computed. The assumption that gives the minimal difference is the action recognition result. Three image features are tested for recognition experiments. Experiments using 15 persons’ seven kinds of action show the effectiveness of the recognition method and clarify the useful image features.
Keyword (in Japanese) (See Japanese page) 
(in English) Tensor Decomposition / SVD / Motion Recognition / Core Tensor / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 127, IE2008-40, pp. 43-48, July 2008.
Paper # IE2008-40 
Date of Issue 2008-07-07 (IE, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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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Conference Information
Committee IE MVE  
Conference Date 2008-07-14 - 2008-07-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Shinshu University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2008-07-IE-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Recognizing Human Actions Similar to Each Other from a Video Sequence by a Tensor Decomposition Based Approach 
Sub Title (in English)  
Keyword(1) Tensor Decomposition  
Keyword(2) SVD  
Keyword(3) Motion Recognition  
Keyword(4) Core Tensor  
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1st Author's Name Takayuki Hori  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Jun Ohya  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Jun Kurumisawa  
3rd Author's Affiliation Chiba University of Commerce (Chiba Univ. of Commerce)
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Speaker Author-1 
Date Time 2008-07-15 09:55:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IE2008-40, MVE2008-34 
Volume (vol) vol.108 
Number (no) no.127(IE), no.128(MVE) 
Page pp.43-48 
#Pages
Date of Issue 2008-07-07 (IE, MVE) 


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