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Efficient Implementation of Optical Flow Algorithm Based on Directional Filters on a GPU Using CUDA

Robert Hegner, Ivar Austvoll, Tom Ryen, Guido M. Schuster
University of Applied Sciences of Eastern Switzerland in Rapperswil
19th European Signal Processing Conference (EUSIPCO 2011), 2011

@article{hegner2011efficient,

   title={EFFICIENT IMPLEMENTATION OF OPTICAL FLOW ALGORITHM BASED ON DIRECTIONAL FILTERS ON A GPU USING CUDA},

   author={Hegner, R. and Austvoll, I. and Ryen, T. and Schuster, G.M.},

   year={2011}

}

This paper describes an optical flow estimation algorithm using directional filters and an AM-FM demodulation algorithm, and its efficient implementation on a NVIDIA GPU using CUDA. The resulting implementation is several thousand times faster than the corresponding MATLAB code, which makes the described scheme suitable for real-time applications. This paper also describes a new multiresolution scheme for our algorithm which allows estimating high speeds without aliasing. The accuracy of our algorithm has proved to be comparable to the accuracy of well-known optical flow algorithms.
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