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 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) |
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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 |
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Particle filter |
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State variable |
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Observation |
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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 |
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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 |
6 |
Date of Issue |
2009-01-28 (ITS, IE) |
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