@article{ART001176121},
author={Kim， Young-Ju},
title={An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2005},
volume={10},
number={6},
pages={187-194}
TY - JOUR
AU - Kim， Young-Ju
TI - An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction
JO - Journal of The Korea Society of Computer and Information
PY - 2005
VL - 10
IS - 6
PB - The Korean Society Of Computer And Information
SP - 187
EP - 194
SN - 1598-849X
AB - The background subtraction method is mainly used for the real-time extraction and tracking of moving objects from image sequences. In the outdoor environment, there are many changeable environment factors such as gradually changing illumination, swaying trees and suddenly moving objects, which are to be considered for an adaptive processing. Normally, GMM(Gaussian Mixture Model) is used to subtract the background by considering adaptively the various changes in the scenes, and the adaptive GMMs improving the real-time performance were proposed and worked. This paper, for on-line background subtraction, employed the improved adaptive GMM, which uses the small constant for learning rate α and is not able to speedily adapt the suddenly movement of objects. So, this paper proposed and evaluated the dynamic control method of α using the adaptive selection of the number of component distributions and the global variances of pixel values.
KW - Background subtraction;Background Model;GMM(Gaussian Mixture Model);recursive parameter update;MAP(Maximum A Posteriori)
DO -
UR -
ER -
Kim， Young-Ju. (2005). An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction. Journal of The Korea Society of Computer and Information, 10(6), 187-194.
Kim， Young-Ju. 2005, "An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction", Journal of The Korea Society of Computer and Information, vol.10, no.6 pp.187-194.
Kim， Young-Ju "An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction" Journal of The Korea Society of Computer and Information 10.6 pp.187-194 (2005) : 187.
Kim， Young-Ju. An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction. 2005; 10(6), 187-194.
Kim， Young-Ju. "An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction" Journal of The Korea Society of Computer and Information 10, no.6 (2005) : 187-194.
Kim， Young-Ju. An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction. Journal of The Korea Society of Computer and Information, 10(6), 187-194.
Kim， Young-Ju. An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction. Journal of The Korea Society of Computer and Information. 2005; 10(6) 187-194.
Kim， Young-Ju. An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction. 2005; 10(6), 187-194.
Kim， Young-Ju. "An Improved Adaptive Background Mixture Model for Real-time Object Tracking based on Background Subtraction" Journal of The Korea Society of Computer and Information 10, no.6 (2005) : 187-194.
