An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos

Caroline Silva, Thierry Bouwmans, Carl Frélicot

2015

Abstract

In this paper, we propose an eXtended Center-Symmetric Local Binary Pattern (XCS-LBP) descriptor for background modeling and subtraction in videos. By combining the strengths of the original LBP and the similar CS ones, it appears to be robust to illumination changes and noise, and produces short histograms, too. The experiments conducted on both synthetic and real videos (from the Background Models Challenge) of outdoor urban scenes under various conditions show that the proposed XCS-LBP outperforms its direct competitors for the background subtraction task.

References

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Paper Citation


in Harvard Style

Silva C., Bouwmans T. and Frélicot C. (2015). An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 395-402. DOI: 10.5220/0005266303950402


in Bibtex Style

@conference{visapp15,
author={Caroline Silva and Thierry Bouwmans and Carl Frélicot},
title={An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={395-402},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005266303950402},
isbn={978-989-758-089-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos
SN - 978-989-758-089-5
AU - Silva C.
AU - Bouwmans T.
AU - Frélicot C.
PY - 2015
SP - 395
EP - 402
DO - 10.5220/0005266303950402