Two-dimensional matched filtering for motion estimation

Author

Milanfar, Peyman

Author_Institution

SRI Int., Menlo Park, CA, USA

Volume

8

Issue

3

fYear

1999

fDate

3/1/1999 12:00:00 AM

Firstpage

438

Lastpage

444

Abstract

In this work, we describe a frequency domain technique for the estimation of multiple superimposed motions in an image sequence. The least-squares optimum approach involves the computation of the three-dimensional (3-D) Fourier transform of the sequence, followed by the detection of one or more planes in this domain with high energy concentration. We present a more efficient algorithm, based on the properties of the Radon transform and the two-dimensional (2-D) fast Fourier transform, which can sacrifice little performance for significant computational savings. We accomplish the motion detection and estimation by designing appropriate matched filters. The performance is demonstrated on two image sequences

Keywords

Radon transforms; discrete Fourier transforms; frequency-domain analysis; image sequences; matched filters; motion estimation; two-dimensional digital filters; Radon transform; frequency domain technique; image sequence; motion detection; motion estimation; multiple superimposed motions; performance; two-dimensional fast Fourier transform; two-dimensional matched filtering; Fast Fourier transforms; Filtering; Fourier transforms; Frequency domain analysis; Frequency estimation; Image sequences; Matched filters; Motion detection; Motion estimation; Two dimensional displays;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.748900

Filename

748900