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Optical Engineering

Video background replacement using a genetic algorithm
Author(s): Yangmi Lim; Jinwan Park
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Paper Abstract

Recent statistical methods of video background replacement are robust enough to operate in dynamic environments, but generally require very large computational resources and still have difficulty in clear segmentation of objects. We use a simpler running-average method to model a changing background, and a single global threshold vector, optimized by a genetic algorithm, instead of pixel-by-pixel thresholds. A fitness function is trained to evaluate segmentations by penalizing incorrectly recognized regions. Experimental results on real images show that our new approach outperforms an existing method based on a mixture of Gaussians.

Paper Details

Date Published: 1 April 2008
PDF: 11 pages
Opt. Eng. 47(4) 047402 doi: 10.1117/1.2909664
Published in: Optical Engineering Volume 47, Issue 4
Show Author Affiliations
Yangmi Lim, Chung-Ang Univ. (South Korea)
Jinwan Park, Chung-Ang Univ. (South Korea)


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