Presentation | 2007-07-10 Improvement of Moving Object Extraction Based on Two-Layered Clustering of Affine Parameters Takefumi KOJIMA, Satoshi INOUE, Kousuke IMAMURA, Hideo Hashimoto, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have shown a moving-object segmentation method that employs clustering of affine parameters for image blocks. The elements of affine parameters have different characteristic, so they have to be normalized for evaluating distance between them. In this paper, we propose a new method to solve those problems. This method, rejecting unreliable affine parameters in clustering and employing two-layered clustering, improves accuracy of moving-object extraction. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Moving Object Extraction / Affine Parameters / Clustering |
Paper # | IE2007-30,MVE2007-33 |
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Committee | MVE |
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Conference Date | 2007/7/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improvement of Moving Object Extraction Based on Two-Layered Clustering of Affine Parameters |
Sub Title (in English) | |
Keyword(1) | Moving Object Extraction |
Keyword(2) | Affine Parameters |
Keyword(3) | Clustering |
1st Author's Name | Takefumi KOJIMA |
1st Author's Affiliation | Kanazawa University() |
2nd Author's Name | Satoshi INOUE |
2nd Author's Affiliation | Shiga Fujitsu Software Limited |
3rd Author's Name | Kousuke IMAMURA |
3rd Author's Affiliation | Kanazawa University |
4th Author's Name | Hideo Hashimoto |
4th Author's Affiliation | Kanazawa University |
Date | 2007-07-10 |
Paper # | IE2007-30,MVE2007-33 |
Volume (vol) | vol.107 |
Number (no) | 130 |
Page | pp.pp.- |
#Pages | 6 |
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