FFT-based estimation of large motions in images: A robust gradient-based approach

Author

Tzimiropoulos, Georgios ; Argyriou, Vasileios ; Stathaki, Tania

Author_Institution

Imperial Coll. London, London

fYear

2009

fDate

19-24 April 2009

Firstpage

969

Lastpage

972

Abstract

A fast and robust gradient-based motion estimation technique which operates in the frequency domain is presented. The algorithm combines the natural advantages of a good feature selection offered by gradient-based methods with the robustness and speed provided by FFT-based correlation schemes. Experimentation with real images taken from a popular database showed that, unlike any other Fourier-based techniques, the method was able to estimate translations, arbitrary rotations and scale factors in the range 4-6.

Keywords

fast Fourier transforms; gradient methods; motion estimation; FFT-based correlation schemes; Fourier-based techniques; fast Fourier transforms; frequency domain; image motion; robust gradient-based motion estimation technique; Art; Discrete Fourier transforms; Educational institutions; Frequency domain analysis; Grid computing; Interpolation; Iterative methods; Motion estimation; Robustness; Sampling methods; Motion estimation; correlation methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4959747

Filename

4959747