Phase-based Motion Estimation for Noisy Sequences

Author

Bruni, V. ; De Canditiis, D. ; Vitulano, D.

Author_Institution

CNR, Rome

fYear

2007

fDate

27-30 June 2007

Firstpage

381

Lastpage

384

Abstract

This paper presents a novel approach for estimating affine motion in noisy image sequences. It exploits Fourier phase information by comparing the averaging of a group of frames and the convolution of the reference one with a Dirac comb function. A study of the estimation error in case of Gaussian noise is also offered. The proposed approach outperforms available techniques in terms of quality and computational effort.

Keywords

convolution; fast Fourier transforms; image sequences; motion estimation; Dirac comb function; convolution; error estimation; fast fourier transform; gaussian noise; noisy sequences; phase correlation method; phase-based motion estimation; Convolution; Correlation; Fast Fourier transforms; Frequency estimation; Image sequences; Motion estimation; Noise robustness; Phase estimation; Phase noise; Principal component analysis; computational effort; fast fourier transform; motion estimation; phase correlation method;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on

Conference_Location

Maribor

Print_ISBN

978-961-248-029-5

Electronic_ISBN

978-961-248-029-5

Type

conf

DOI

10.1109/IWSSIP.2007.4381121

Filename

4381121