| Presentation | 2006-03-16 Egomotion Analysis with Uncorrelated Optical Flow Ryo TAKADA, Halyuan WU, Toshikazu WADA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the case of wide area video surveillance, it is useful to detect moving objects from image sequences taken by a pan-tilt active camera. We consider this optical flow is separable because it is mixed by the background flow and moving object flow. In this paper, we propose an algorithm, which detects moving objects by whitening the optical flow obtained from the image sequences. Our method can detect the moving objects independent on the rotation of pan/tilt, by preparing only one arbitrary uniform flow. Through various experiments, we confirm the effectiveness of proposed algorithm. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Detection Moving Object / Egomotion Analysis / Whitening |
| Paper # | PRMU2005-238 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2006/3/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Egomotion Analysis with Uncorrelated Optical Flow |
| Sub Title (in English) | |
| Keyword(1) | Detection Moving Object |
| Keyword(2) | Egomotion Analysis |
| Keyword(3) | Whitening |
| 1st Author's Name | Ryo TAKADA |
| 1st Author's Affiliation | Graduate School of System Engineering, Wakayama University() |
| 2nd Author's Name | Halyuan WU |
| 2nd Author's Affiliation | Graduate School of System Engineering, Wakayama University |
| 3rd Author's Name | Toshikazu WADA |
| 3rd Author's Affiliation | Graduate School of System Engineering, Wakayama University |
| Date | 2006-03-16 |
| Paper # | PRMU2005-238 |
| Volume (vol) | vol.105 |
| Number (no) | 673 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |