Title : ( Motion Estimation Using the Gradient Method by Genetic Algorithm )
Authors: Mostafa Attaran kakhki , Omid Hashemi Ghouchani , Seyed Dawood Seyed Javan , Habib Rajabi Mashhadi ,
Full TextAbstract
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 Algorithm; special points; estimation; motion estimation; gradient; global optimization
@inproceedings{paperid:1020595,
author = {Attaran Kakhki, Mostafa and Hashemi Ghouchani, Omid and Seyed Javan, Seyed Dawood and Rajabi Mashhadi, Habib},
title = {Motion Estimation Using the Gradient Method by Genetic Algorithm},
booktitle = {2010 12th International Conference on Computer Modelling and Simulation},
year = {2010},
location = {ENGLAND},
keywords = {Genetic Algorithm; special points; estimation; motion estimation; gradient; global optimization},
}
%0 Conference Proceedings
%T Motion Estimation Using the Gradient Method by Genetic Algorithm
%A Attaran Kakhki, Mostafa
%A Hashemi Ghouchani, Omid
%A Seyed Javan, Seyed Dawood
%A Rajabi Mashhadi, Habib
%J 2010 12th International Conference on Computer Modelling and Simulation
%D 2010
