Presentation 2000/7/6
Separation of Multiple Objects in Motion Images by Clustering
Kohei INOUE, Kiichi URAHAMA,
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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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Conference Information
Committee MVE
Conference Date 2000/7/6(1days)
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Registration To Media Experience and Virtual Environment (MVE)
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
Date of Issue