Optical flow optimization using parallel genetic algorithm
Published in Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE • May 13, 2011
NobleIDNI2P08W78R31S55
Authors:,,
Olmo Zavala‐Romero
Guillermo Botella
Anke Meyer‐Baese
Abstract
A new approach to optimize the parameters of a gradient-based optical flow model using a parallel genetic algorithm (GA) is proposed. The main characteristics of the optical flow algorithm are its bio-inspiration and robustness against contrast, static patterns and noise, besides working consistentl...
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