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http://dx.doi.org/10.9728/dcs.2013.14.1.117

Illumination Influence Minimization Method for Efficient Object  

Kim, Jae-Seoung (가천대학교 일반대학원 전자계산학과)
Lee, Ki-Jung ((주)그림소프트)
Whangbo, Taeg-Keun (가천대학교 인터랙티브미디어학과)
Publication Information
Journal of Digital Contents Society / v.14, no.1, 2013 , pp. 117-124 More about this Journal
Abstract
This paper suggests the robust method of extraction for moving objects in illumination variation by using image sequence from an immovable camera. The most difficult part of the implication is the effect by illumination and noise. The object area is hardly estimated when the dusky area occurs in illumination variation by time change. This thesis describes the extraction of moving objects employed by Gaussian mixture model which is noise robust measure. Also, the report suggests the elimination method of illumination part in input image by the representative illumination image which is defined to minimize the illumination influence.
Keywords
Object Extraction; Illumination variation; Background Modeling; Gaussian Mixture Model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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