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

Tzimiropoulos, Georgios; Argyriou, Vasileios; Stathaki, Tania

Authors

Georgios Tzimiropoulos

Vasileios Argyriou

Tania Stathaki



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.

Publication Date Apr 1, 2009
Peer Reviewed Peer Reviewed
APA6 Citation Tzimiropoulos, G., Argyriou, V., & Stathaki, T. (2009). FFT-based estimation of large motions in images: a robust gradient-based approach
Keywords Fast Fourier transforms, Gradient methods, Motion estimation
Publisher URL http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4959747
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
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.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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