• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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


Abstract

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.


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Cite this article

[IEEE Style]
T. T. Nguyen, X. D. Pham, J. W. Jeon, "Scaling-Translation Parameter Estimation using Genetic Hough Transform for Background Compensation," KSII Transactions on Internet and Information Systems, vol. 5, no. 8, pp. 1423-1443, 2011. DOI: 10.3837/tiis.2011.08.004.

[ACM Style]
Thuy Tuong Nguyen, Xuan Dai Pham, and Jae Wook Jeon. 2011. Scaling-Translation Parameter Estimation using Genetic Hough Transform for Background Compensation. KSII Transactions on Internet and Information Systems, 5, 8, (2011), 1423-1443. DOI: 10.3837/tiis.2011.08.004.

[BibTeX Style]
@article{tiis:19992, title="Scaling-Translation Parameter Estimation using Genetic Hough Transform for Background Compensation", author="Thuy Tuong Nguyen and Xuan Dai Pham and Jae Wook Jeon and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2011.08.004}, volume={5}, number={8}, year="2011", month={August}, pages={1423-1443}}