Scaling-Translation Parameter Estimation using Genetic Hough Transform for Background Compensation

Background compensation plays an important role in detecting and isolating object motion in visual tracking. Here, we propose a Genetic Hough Transform, which combines the Hough Transform and Genetic Algorithm, as a method for eliminating background motion. Our method can handle cases in which the b...

Full description

Saved in:
Bibliographic Details
Published in:KSII transactions on Internet and information systems 2011, 5(8), , pp.1423-1443
Main Authors: Nguyen, Thuy Tuong, Pham, Xuan Dai, Jeon, Jae Wook
Format: Article
Language:English
Subjects:
Algorithms
컴퓨터학
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background compensation plays an important role in detecting and isolating object motion in visual tracking. Here, we propose a Genetic Hough Transform, which combines the Hough Transform and Genetic Algorithm, as a method for eliminating background motion. Our method can handle cases in which the background may contain only a few, if any, feature points. These points can be used to estimate the motion between two successive frames. In addition to dealing with featureless backgrounds, our method can successfully handle motion blur. Experimental comparisons of the results obtained using the proposed method with other methods show that the proposed approach yields a satisfactory estimate of background motion. Keywords: Affine parameter estimation, background compensation, global motion compensation, multi-resolution hough transform, genetic hough transform, genetic algorithm
ISSN:1976-7277
1976-7277
DOI:10.3837/tiis.2011.08.004