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Author: Hee-il Hahn

Affiliation: Hankuk University of Foreign Studies, Korea, Republic of

Keyword(s): Background subtraction, Pixel-based background modelling, Visual surveillance, Markov random fields, Belief propagation.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Surveillance ; Vision, Recognition and Reconstruction

Abstract: It is challenging to detect foreground objects when background includes an illumination variation, shadow or structural variation due to their motion. Basically pixel-based background models suffer from statistical randomness of each pixel. This paper proposes an algorithm that incorporates Markov random field(MRF) model into pixel-based background modelling to achieve more accurate foreground detection. Under the assumptions the distance between the pixel on the input image and the corresponding background model and the difference between the scene estimates of the spatio-temporally neighboring pixels are exponentially distributed, a recursive approach for estimating the MRF regularizing parameters is proposed. The proposed method alternates between estimating the parameters with the intermediate foreground detection results and detecting the foreground with the estimated parameters, after computing them with the detection results of the pixel-based background subtraction. Extensive experiment is conducted with several videos recorded both indoors and outdoors to compare the proposed method with the codebook-based algorithm. (More)

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Paper citation in several formats:
Hahn, H. (2011). BACKGROUND SUBTRACTION USING BELIEF PROPAGATION. In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8425-75-1; ISSN 2184-2809, SciTePress, pages 281-286. DOI: 10.5220/0003444102810286

@conference{icinco11,
author={Hee{-}il Hahn.},
title={BACKGROUND SUBTRACTION USING BELIEF PROPAGATION},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2011},
pages={281-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003444102810286},
isbn={978-989-8425-75-1},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - BACKGROUND SUBTRACTION USING BELIEF PROPAGATION
SN - 978-989-8425-75-1
IS - 2184-2809
AU - Hahn, H.
PY - 2011
SP - 281
EP - 286
DO - 10.5220/0003444102810286
PB - SciTePress