Efficient Implementation of Optical Flow Algorithm Based on Directional Filters on a GPU Using CUDA
University of Applied Sciences of Eastern Switzerland in Rapperswil
19th European Signal Processing Conference (EUSIPCO 2011), 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.
October 27, 2011 by hgpu