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

Tzimiropoulos, Georgios and Argyriou, V. and Stathaki, T. (2009) FFT-based estimation of large motions in images: a robust gradient-based approach. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, 19 - 24 April 2009, Taipei.

Full content URL: http://dx.doi.org/10.1109/ICASSP.2009.4959747

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

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. ©2009 IEEE.

Additional Information:Conference Code: 76748
Keywords:Arbitrary rotation, Correlation scheme, Feature selection, Fourier, Frequency domains, Gradient based, Gradient-based method, Real images, Scale Factor, Acoustics, Correlation methods, Estimation, Fast Fourier transforms, Motion estimation, Signal processing, Frequency estimation
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:8737
Deposited On:01 Aug 2013 09:48

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