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

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.

References

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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