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Paper Abstract and Keywords
Presentation 2011-02-18 13:30
A Study of Human Motion Recognition Based on Tensor Decomposition using a Multiple Viewpoint Image Sequence
Takayuki Hori, Jun Ohya (Waseda Univ.), Jun Kurumisawa (CUC) PRMU2010-230
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a Tensor Decomposition based algorithm that recognizes the observed action performed by an unknown person and unknown viewpoint not included in the database. Our previous research aimed motion recognition from one single viewpoint. In this paper, we extend our approach for human motion recognition from an arbitrary viewpoint. To achieve this issue, we set tensor database which are multi-dimensional vectors with dimensions corresponding to human models, viewpoint angles, and action classes. The value of a tensor for a given combination of human silhouette model, viewpoint angle, and action class is the series of mesh feature vectors calculated each frame sequence. To recognize human motion, 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 each combination of action, person, and viewpoint. 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. The recognition results show the validity of our proposed method, the method is experimentally compared with Nearest Neighbor rule. Our proposed method is very stable as each action was recognized with over 75% accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Tensor Decomposition / Action Recognition / Motion Signature / Arbitrary Viewpoint / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 414, PRMU2010-230, pp. 141-146, Feb. 2011.
Paper # PRMU2010-230 
Date of Issue 2011-02-10 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 PRMU  
Conference Date 2011-02-17 - 2011-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2011-02-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Human Motion Recognition Based on Tensor Decomposition using a Multiple Viewpoint Image Sequence 
Sub Title (in English)  
Keyword(1) Tensor Decomposition  
Keyword(2) Action Recognition  
Keyword(3) Motion Signature  
Keyword(4) Arbitrary Viewpoint  
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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 (CUC)
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Speaker Author-1 
Date Time 2011-02-18 13:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-230 
Volume (vol) vol.110 
Number (no) no.414 
Page pp.141-146 
#Pages 6 
Date of Issue 2011-02-10 (PRMU) 

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