MODELLING A BACKGROUND FOR BACKGROUND SUBTRACTION FROM A SEQUENCE OF IMAGES - Formulation of Probability Distribution of Pixel Positions

Suil Son, Young-Woon Cha, Suk I. Yoo

2011

Abstract

This paper presents a new background subtraction approach to identifying the various changes of objects in a sequence of images. A background is modelled as the probability distribution of pixel positions given intensity clusters, which is constructed from a given sequence of images. Each pixel position in a new image is then identified with either a background or a foreground, depending on its value from probability distribution of pixel positions representing a background. The presented approach is illustrated using two examples. As compared to traditional intensity-based approaches, this approach is shown to be robust to dynamic textures and various changes of illumination.

Download


Paper Citation


in Harvard Style

Son S., Cha Y. and Yoo S. (2011). MODELLING A BACKGROUND FOR BACKGROUND SUBTRACTION FROM A SEQUENCE OF IMAGES - Formulation of Probability Distribution of Pixel Positions . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 545-551. DOI: 10.5220/0003141105450551

in Bibtex Style

@conference{icaart11,
author={Suil Son and Young-Woon Cha and Suk I. Yoo},
title={MODELLING A BACKGROUND FOR BACKGROUND SUBTRACTION FROM A SEQUENCE OF IMAGES - Formulation of Probability Distribution of Pixel Positions},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={545-551},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003141105450551},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - MODELLING A BACKGROUND FOR BACKGROUND SUBTRACTION FROM A SEQUENCE OF IMAGES - Formulation of Probability Distribution of Pixel Positions
SN - 978-989-8425-40-9
AU - Son S.
AU - Cha Y.
AU - Yoo S.
PY - 2011
SP - 545
EP - 551
DO - 10.5220/0003141105450551