Title :
Motion Estimation Using the Gradient Method by Genetic Algorithm
Author :
Kakhki, Mostafa Attaran ; Javan, Dawood Seyed ; Ghouchani, Omid Hashemi ; Mashhadi, Habib Rajabi
Author_Institution :
Electr. Dept., Ferdowsi Univ., Mashhad, Iran
Abstract :
In this paper, we present a method to estimate the special points with the most motion in two neighbor frames. We propose a solution to determine the best illumination of either a static object, and a moving camera, either or a moving object and a static camera with two different issues: maximizing the brightness of the scene and maximizing the contrast in the image. The role of gradient estimation in global optimization is investigated. In this way, we solve the estimation of the points´ motion under pixel preciseness by Genetic Algorithm in proposed image. This method shows good experimental results.
Keywords :
genetic algorithms; gradient methods; motion estimation; brightness maximization; genetic algorithm; global optimization; gradient estimation; gradient method; motion estimation; moving camera; static camera; Cameras; Genetic algorithms; Gradient methods; Image motion analysis; Layout; Lighting; Motion estimation; Optimization methods; Shape; Yield estimation; Genetic Algorithm; estimation; global optimization; gradient; motion estimation; special points;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-6614-6
DOI :
10.1109/UKSIM.2010.54