Presentation | 2000/7/6 Separation of Multiple Objects in Motion Images by Clustering Kohei INOUE, Kiichi URAHAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A method is presented for estimating the number of rigid objects moving independently and separating the feature points tracked on the motion images into individual objects by clustering. Feature points are mapped into a low dimensional space suitable for grouping them into each object. In this low dimensional space, clusters are extracted sequentially by a graph spectral method. The number of clusters i.e.objects can be estimated on the basis of the variation in the cohesiveness of extracted clusters. We show by numerical experiments that the present method is robust to moderate measurement noises and distortion by perspective projection. Application to a CG animation is also presented. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | motion analysis / factorization method / sequential fuzzy cluster extraction / perspective projection |
Paper # | IE2000-20,PRMU2000-45,MVE2000-49 |
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Committee | MVE |
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Conference Date | 2000/7/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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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) | Separation of Multiple Objects in Motion Images by Clustering |
Sub Title (in English) | |
Keyword(1) | motion analysis |
Keyword(2) | factorization method |
Keyword(3) | sequential fuzzy cluster extraction |
Keyword(4) | perspective projection |
1st Author's Name | Kohei INOUE |
1st Author's Affiliation | Faculty of Visual Communication Design, Kyushu Institute of Design() |
2nd Author's Name | Kiichi URAHAMA |
2nd Author's Affiliation | Faculty of Visual Communication Design, Kyushu Institute of Design |
Date | 2000/7/6 |
Paper # | IE2000-20,PRMU2000-45,MVE2000-49 |
Volume (vol) | vol.100 |
Number (no) | 183 |
Page | pp.pp.- |
#Pages | 8 |
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