| Paper Abstract and Keywords |
| Presentation |
2008-10-23 15:55
A Note on Flow Estimation based on Particle Filter
-- Introduction of Helmholtz Decomposition Theorem into Observation Model --
Norihiro Kakukou, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper proposes an effective flow estimation method based on a Helmholtz decomposition theorem with a particle filter. In a traditional method based on the Helmholtz decomposition theorem, since it does not consider translation and estimation errors included in previous flows, its performance tends to become degraded. Therefore, the proposed method extends the Helmholtz decomposition theorem with the translation. By using the extended theorem, the flow estimation considering the translation can be realized. Furthermore, the proposed method regards the flows as state variables in the particle filter. Then, the proposed method defines a process that the flows of the pixels in the current frame are provided from the ones of pixels in the previous frame as a state transition model. The proposed method defines the following two processes as an observation model. One is that intensities including additive noise in the current frame are generated from the flows of the pixels in the current frame. The other one is that the flows of the pixels in the current frame are decomposed into rotational and divergent components including the additive noise. By using the particle filter based on these models, the proposed method can estimate the flows of the pixels in the current frame in such a way that the estimation errors included in the previous flows do not affect the flow estimation scheme. Consequently, an accurate flow estimation can be achieved. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Helmholtz decomposition theorem / Flow estimation / Particle filter / Gradient-based method / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 32, no. 46, ME2008-167, pp. 19-22, Oct. 2008. |
| Paper # |
ME2008-167 |
| Date of Issue |
2008-10-16 (ME) |
| ISSN |
Print edition: ISSN 1342-6893 |
| Download PDF |
|
| Conference Information |
| Committee |
ME JSKE |
| Conference Date |
2008-10-23 - 2008-10-24 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2008-10-ME-JSKE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Note on Flow Estimation based on Particle Filter |
| Sub Title (in English) |
Introduction of Helmholtz Decomposition Theorem into Observation Model |
| Keyword(1) |
Helmholtz decomposition theorem |
| Keyword(2) |
Flow estimation |
| Keyword(3) |
Particle filter |
| Keyword(4) |
Gradient-based method |
| Keyword(5) |
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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 |
2008-10-23 15:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
ME |
| Paper # |
ME2008-167 |
| Volume (vol) |
vol.32 |
| Number (no) |
no.46 |
| Page |
pp.19-22 |
| #Pages |
4 |
| Date of Issue |
2008-10-16 (ME) |