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Authors: Bilge Gunsel ; Serhat S. Bucak and Ozan Gursoy

Affiliation: Istanbul Technical University, Turkey

Abstract: In this paper, an incremental algorithm which is derived from Non-γnegative Matrix Factorization (NMF) is proposed for background modeling in surveillance type of video sequences. The adopted algorithm, which is called as Incremental NMF (INMF), is capable of modeling dynamic content of the surveillance video and controlling contribution of the subsequent observations to the existing representation properly. INMF preserves additive, parts-based representation, and dimension reduction capability of NMF without increasing the computational load. Test results are reported to compare background modeling performances of batch-mode and incremental NMF in surveillance type of video. Moreover, test results obtained by the incremental PCA are also given for comparison purposes. It is shown that INMF outperforms the conventional batch-mode NMF in all aspects of dynamic background modeling. Although object tracking performance of INMF and the incremental PCA are comparable, INMF is much more ro bust to illumination changes. (More)

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Paper citation in several formats:
Gunsel, B.; S. Bucak, S. and Gursoy, O. (2007). Incremental Non-negative Matrix Factorization for Dynamic Background Modelling. In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS; ISBN 978-972-8865-93-1, SciTePress, pages 107-116. DOI: 10.5220/0002425501070116

@conference{pris07,
author={Bilge Gunsel. and Serhat {S. Bucak}. and Ozan Gursoy.},
title={Incremental Non-negative Matrix Factorization for Dynamic Background Modelling},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS},
year={2007},
pages={107-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002425501070116},
isbn={978-972-8865-93-1},
}

TY - CONF

JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS
TI - Incremental Non-negative Matrix Factorization for Dynamic Background Modelling
SN - 978-972-8865-93-1
AU - Gunsel, B.
AU - S. Bucak, S.
AU - Gursoy, O.
PY - 2007
SP - 107
EP - 116
DO - 10.5220/0002425501070116
PB - SciTePress

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