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Paper Abstract and Keywords
Presentation 2009-05-28 16:15
Real-time estimation of human visual attention with MCMC-based particle filter
Kouji Miyazato (NTT/Okinawa National College of Tech), Akisato Kimura (NTT), Shigeru Takagi (Okinawa National College of Tech), Junji Yamato (NTT) IE2009-25 PRMU2009-16 MI2009-16
Abstract (in Japanese) (See Japanese page) 
(in English) This report proposes a new method for achieving a precise estimation of human visual attention with considerably less execution time. The main contribution of this report is the incorporation of a particle filter with Markov chain Monte-Carlo (MCMC) sampling into a previously proposed stochastic model of saliency-based human visual attention. This enables us to introduce stream processing with such as graphics processing units (GPU) for the acceleration of the estmation. Experimental results indicate that the proposed method can estimate human visual attention more than 10 times faster than and as precisely as previous methods.
Keyword (in Japanese) (See Japanese page) 
(in English) saliency / dynamic Bayesian network / stream processing / Markov chain Monte-Carlo (MCMC) / particle filter / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 64, PRMU2009-16, pp. 83-88, May 2009.
Paper # PRMU2009-16 
Date of Issue 2009-05-21 (IE, PRMU, MI) 
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)
Download PDF IE2009-25 PRMU2009-16 MI2009-16

Conference Information
Committee PRMU IE MI  
Conference Date 2009-05-28 - 2009-05-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Gifu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2009-05-PRMU-IE-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Real-time estimation of human visual attention with MCMC-based particle filter 
Sub Title (in English)  
Keyword(1) saliency  
Keyword(2) dynamic Bayesian network  
Keyword(3) stream processing  
Keyword(4) Markov chain Monte-Carlo (MCMC)  
Keyword(5) particle filter  
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1st Author's Name Kouji Miyazato  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation/Okinawa National College of Technology (NTT/Okinawa National College of Tech)
2nd Author's Name Akisato Kimura  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Shigeru Takagi  
3rd Author's Affiliation Okinawa National College of Technology (Okinawa National College of Tech)
4th Author's Name Junji Yamato  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-2 
Date Time 2009-05-28 16:15:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # IE2009-25, PRMU2009-16, MI2009-16 
Volume (vol) vol.109 
Number (no) no.63(IE), no.64(PRMU), no.65(MI) 
Page pp.83-88 
#Pages
Date of Issue 2009-05-21 (IE, PRMU, MI) 


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