| Presentation | 2002/10/11 A preliminary study of foregound-backgournd separation based on spatial frequency Ryunosuke ITOH, Yoshio IWAI, Masahiko YACHIDA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to detect moving objects stably in outdoor scenes, it is important for detection methods to be robust for noises in a background such as waving leaves, branches, and waving flags. Our previous proposed method also suffers from such noises because the assumption of stable background is broken. In this paper, we propose a method for eliminating such noises by using spatial frequency and conduct preliminary experiments on real images in outdoor scenes to evaluate our proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | background / tracking / FFT |
| Paper # | NC2002-65 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2002/10/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A preliminary study of foregound-backgournd separation based on spatial frequency |
| Sub Title (in English) | |
| Keyword(1) | background |
| Keyword(2) | tracking |
| Keyword(3) | FFT |
| 1st Author's Name | Ryunosuke ITOH |
| 1st Author's Affiliation | Graduate School of Engineering Science, Osaka University() |
| 2nd Author's Name | Yoshio IWAI |
| 2nd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
| 3rd Author's Name | Masahiko YACHIDA |
| 3rd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
| Date | 2002/10/11 |
| Paper # | NC2002-65 |
| Volume (vol) | vol.102 |
| Number (no) | 382 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |