Title : ( A QR Decomposition Based Mixture Model Algorithm for Background Modeling )
Authors: Mahmood Amintoosi , Mahmood Fathy , Farzam Farbiz ,
Full TextAbstract
This paper presents a new algorithm for background modeling in a sequence of images, even if there are foreground objects in each frame. We develop a QR decomposition based algorithm to remove foreground pixels from the image and then we construct the background model using Mixture of Gaussian algorithm, MoG. We split the image into small blocks and construct the background blocks using R-values taken from QR decomposition which indicate the degree of significance of the decomposed parts. The simulation results show the better performance of the proposed algorithm in compare with conventional methods on modeling static background images.
Keywords
, Image processing, Matrix decomposition, Linear algebra, Image segmentation, Object detection
@inproceedings{paperid:1106583,
author = {Amintoosi, Mahmood and محمود فتحی and فرزام فربیز},
title = {A QR Decomposition Based Mixture Model Algorithm for Background Modeling},
booktitle = {ICICS2007, Sixth International InProceedings on Information, Communication and Signal Processing},
year = {2007},
location = {تهران},
keywords = {Image processing; Matrix decomposition; Linear
algebra; Image segmentation; Object detection},
}
%0 Conference Proceedings
%T A QR Decomposition Based Mixture Model Algorithm for Background Modeling
%A Amintoosi, Mahmood
%A محمود فتحی
%A فرزام فربیز
%J ICICS2007, Sixth International InProceedings on Information, Communication and Signal Processing
%D 2007
