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Paper Abstract and Keywords
Presentation 2009-02-05 10:25
A Note on Extension of Particle Filter -- Application for Flow Estimation of Image Sequence --
Norihiro Kakukou, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) ITS2008-61 IE2008-231
Abstract (in Japanese) (See Japanese page) 
(in English) This paper extends a particle filter and applies it for a flow estimation method based on a Helmholtz decomposition theorem. The proposed method utilizes a state transition model including two state variables affecting each other and an observation model affected by a previous observation. These models do not satisfy traditional particle filter’s assumptions that the current state variable depends only on itself at the previous time and the current observation depends only on the current state variable. Therefore, the proposed method utilizes the new assumptions satisfying the above models for the extension of the traditional particle filter. Furthermore, the modified one is applied for the flow estimation method based on the Helmholtz decomposition theorem. The flows whose directions are forward and backward are utilized as the two state variables. For each state variable, the state transition model is defined from properties of the flows. The observation model and an observation density are defined from a gradient-based method and a model of the Helmholtz decomposition theorem extended based on a transitional component. The modified particle filter with these definitions can realize the flow estimation based on gradients of intensities, rotation, divergence, and translation in such a way that the estimation errors included in the previous flows do not affect its scheme. Consequently, an accurate flow estimation can be achieved.
Keyword (in Japanese) (See Japanese page) 
(in English) Particle filter / State variable / Observation / Flow estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 425, IE2008-231, pp. 157-162, Feb. 2009.
Paper # IE2008-231 
Date of Issue 2009-01-28 (ITS, IE) 
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 ITS2008-61 IE2008-231

Conference Information
Committee IE ITS ITE-HI ITE-ME ITE-AIT  
Conference Date 2009-02-04 - 2009-02-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Graduate School of Information Science and Technology Hokkaido Univ 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processings for ITS, Visual Media Engineering, etc. 
Paper Information
Registration To IE 
Conference Code 2009-02-IE-ITS-HI-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Extension of Particle Filter 
Sub Title (in English) Application for Flow Estimation of Image Sequence 
Keyword(1) Particle filter  
Keyword(2) State variable  
Keyword(3) Observation  
Keyword(4) Flow estimation  
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1st Author's Name Norihiro Kakukou  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Takahiro Ogawa  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Miki Haseyama  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2009-02-05 10:25:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # ITS2008-61, IE2008-231 
Volume (vol) vol.108 
Number (no) no.424(ITS), no.425(IE) 
Page pp.157-162 
#Pages
Date of Issue 2009-01-28 (ITS, IE) 


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