| Presentation | 2009-02-05 A Note on Extension of Particle Filter : Application for Flow Estimation of Image Sequence Norihiro KAKUKOU, Takahiro OGAWA, Miki HASEYAMA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Particle filter / State variable / Observation / Flow estimation |
| Paper # | ITS2008-61,IE2008-231 |
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| Conference Information | |
| Committee | ITS |
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| Conference Date | 2009/1/28(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Intelligent Transport Systems Technology (ITS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Note on Extension of Particle Filter : Application for Flow Estimation of Image Sequence |
| Sub Title (in English) | |
| Keyword(1) | Particle filter |
| Keyword(2) | State variable |
| Keyword(3) | Observation |
| Keyword(4) | Flow estimation |
| 1st Author's Name | Norihiro KAKUKOU |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
| 2nd Author's Name | Takahiro OGAWA |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
| 3rd Author's Name | Miki HASEYAMA |
| 3rd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
| Date | 2009-02-05 |
| Paper # | ITS2008-61,IE2008-231 |
| Volume (vol) | vol.108 |
| Number (no) | 424 |
| Page | pp.pp.- |
| #Pages | 6 |
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