DocumentCode
300579
Title
Toward a robust parametric identification of motion on regions of arbitrary shape by nonlinear optimization
Author
Sanson, Henri
Author_Institution
Centre Commun d´´Etudes de Telediffusion et Telecommun., Cesson-Sevigne Cedex, France
Volume
1
fYear
1995
fDate
23-26 Oct 1995
Firstpage
203
Abstract
This paper highlights some problems related to the identification of parametric motion models in image sequences by the so-called differential methods. This often entails the bad behavior of the algorithms used, leading to poor results. Appropriate solutions are proposed. The differential algorithms are particularly effective for complex motion estimation, even of large magnitude
Keywords
image segmentation; image sequences; motion estimation; optimisation; parameter estimation; algorithms; differential algorithms; differential methods; image region; image sequences; image shape; motion estimation; nonlinear optimization; parametric motion models; robust parametric identification; Finite element methods; Least squares methods; Motion estimation; Newton method; Parametric statistics; Polynomials; Recursive estimation; Robustness; Shape; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1995. Proceedings., International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-8186-7310-9
Type
conf
DOI
10.1109/ICIP.1995.529581
Filename
529581
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