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Abstract: In this paper, we propose a level set approach to decompose the image plane into segments with consistent apparent motion and recover parametric models that best describe such a motion. The number of motion planes and initial motion parameters are obtained by robust block-wise optical flow estimation, followed by non-parametric clustering in the motion parameter space. Implicit representations are used to further improve the estimation and to segment the image plane according to consistent... (Update)
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BibTeX entry: (Update)
R. Zhang, N. Paragios, D. Metaxas, Implicit representations for recovery and reconstruction of motion layers, in: IEEE Workshop in Variational and Level Set Methods, 2003, pp 209--217. http://citeseer.ist.psu.edu/zhang03implicit.html More
@misc{ zhang03implicit,
author = "R. Zhang and N. Paragios and D. Metaxas",
title = "Implicit representations for recovery and reconstruction of motion layers",
text = "R. Zhang, N. Paragios, D. Metaxas, Implicit representations for recovery
and reconstruction of motion layers, in: IEEE Workshop in Variational and
Level Set Methods, 2003, pp 209--217.",
year = "2003",
url = "citeseer.ist.psu.edu/zhang03implicit.html" }
Citations (may not include all citations):502 Performance of Optical Flow Techniques - Barron, Fleet et al. - 1994
349 Hierarchical Model-Based Motion Estimation (context) - Bergen, Anandan et al. - 1992
136 A Fast Level Set Method for Propagating Interfaces - Adalsteinsson, Sethian - 1995
111 Layered Representation of Motion Video Using Robust Maximum-.. - Ayer, Sawhney - 1995
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