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

Tzimiropoulos, Georgios; Argyriou, Vasileios; Stathaki, Tania

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.

Citation

Tzimiropoulos, G., Argyriou, V., & Stathaki, T. FFT-based estimation of large motions in images: a robust gradient-based approach. Presented at 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009)

• Conference Name: 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009)
• End Date: Apr 24, 2009
• Publication Date: Apr 1, 2009
• Deposit Date: Feb 1, 2016
• Publicly Available Date: Feb 1, 2016
• Peer Reviewed: Peer Reviewed
• Keywords: Fast Fourier transforms, Gradient methods, Motion estimation
• Public URL: https://nottingham-repository.worktribe.com/output/1013817
• Publisher URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4959747
• Additional Information: © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.