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Proceedings Paper

Structural motion segmentation for compact image sequence representation
Author(s): Cha Keon Cheong; Kiyoharu Aizawa; Takahiro Saito; Masahide Kaneko; Hiroshi Harashima
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Paper Abstract

This paper addresses a problem of extraction of the structural motion information for compact image sequence representation. In order to extract a meaningful scene structure from image sequence, global motion and region shape of moving objects are taken into consideration. Firstly, intraframe segmentation is carried out with edges that are detected from zero-crossings of a wavelet transform, and local motions are estimated using a gradient-based method. Moving regions are then extracted using the local motion based on the intraframe segmentation. Secondly, moving regions are roughly separated into the region of the moving objects based on probabilistic clustering with mixture models using the optical flow and the image intensity for each region of the intraframe segmentation. Motion segmentation can finally be obtained by iterated estimation of affine motion parameters and region reassignment according to a criterion using Gauss-Newton iterative optimization algorithm.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233187
Show Author Affiliations
Cha Keon Cheong, Telecommunications Advanced Organization of Japan (Japan)
Kiyoharu Aizawa, Univ. of Tokyo (Japan)
Takahiro Saito, Kanagawa Univ. (Japan)
Masahide Kaneko, Univ. of Tokyo (Japan)
Hiroshi Harashima, Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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