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Paper Abstract and Keywords
Presentation 2011-03-07 17:15
Improvement of infant's action recognition accuracy by Bayesian estimation method introducing Bayesian Network -- Experimental evaluation with supersonic sensor and camera images --
Shozo Ishikawa (UEC), Yoichi Motomura, Yoshifumi Nishida (AIST), Hayaru Shouno (UEC) NC2010-150
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is to prevent accident in infants.
Therefore, we consider analysis the action of the behavior in the everyday life from several types of sensors.
Conventional action recognition has been done only from the image.

WWe propose applying additional information,
which we treat as the prior distribution in the meaning of the Bayes inference,
observed from the supersonic sensors.
Prior distribution use Bayesian network formulation in the observation data.
Likelihood function calculates maximum likelihood estimation method in feature extraction of images.
In this paper, we consider feature extraction candidates as HLAC, SIFT, and 3D SIFT, and compare the performance of them.
We estimate behavior labels by this method.
Then, we performed a comparison experiment to inference a behavior labels by this method.
Keyword (in Japanese) (See Japanese page) 
(in English) Bayesian Networks / Bayes Inference / Action Recognition / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 461, NC2010-150, pp. 137-142, March 2011.
Paper # NC2010-150 
Date of Issue 2011-02-28 (NC) 
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)
Download PDF NC2010-150

Conference Information
Committee NC MBE  
Conference Date 2011-03-07 - 2011-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2011-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of infant's action recognition accuracy by Bayesian estimation method introducing Bayesian Network 
Sub Title (in English) Experimental evaluation with supersonic sensor and camera images 
Keyword(1) Bayesian Networks  
Keyword(2) Bayes Inference  
Keyword(3) Action Recognition  
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1st Author's Name Shozo Ishikawa  
1st Author's Affiliation University of Electro-Communications (UEC)
2nd Author's Name Yoichi Motomura  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Yoshifumi Nishida  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Hayaru Shouno  
4th Author's Affiliation University of Electro-Communications (UEC)
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Speaker
Date Time 2011-03-07 17:15:00 
Presentation Time 25 
Registration for NC 
Paper # IEICE-NC2010-150 
Volume (vol) IEICE-110 
Number (no) no.461 
Page pp.137-142 
#Pages IEICE-6 
Date of Issue IEICE-NC-2011-02-28 


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