HIERARCHICAL AND SPATIAL-COLORIMETRIC MODEL TO DETECT MOVING TARGETS

C. Gabard, C. Achard, L. Lucat, P. Sayd

Abstract

Background subtraction is often one of the first tasks involved in video surveillance applications. Classical methods only use temporal modelling of the background pixels. Using pixel blocks with fixed size allows robust detection but these approaches lead to a loss of precision. We propose in this paper a model of the scene which combines a temporal and local model with a spatial model. This whole representation of the scene both models fixed elements (background) and mobile ones. This allows improving detection accuracy by transforming the detection problem in a two classes classification problem.

References

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Paper Citation


in Harvard Style

Gabard C., Achard C., Lucat L. and Sayd P. (2012). HIERARCHICAL AND SPATIAL-COLORIMETRIC MODEL TO DETECT MOVING TARGETS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 505-508. DOI: 10.5220/0003871105050508


in Bibtex Style

@conference{visapp12,
author={C. Gabard and C. Achard and L. Lucat and P. Sayd},
title={HIERARCHICAL AND SPATIAL-COLORIMETRIC MODEL TO DETECT MOVING TARGETS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={505-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003871105050508},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - HIERARCHICAL AND SPATIAL-COLORIMETRIC MODEL TO DETECT MOVING TARGETS
SN - 978-989-8565-03-7
AU - Gabard C.
AU - Achard C.
AU - Lucat L.
AU - Sayd P.
PY - 2012
SP - 505
EP - 508
DO - 10.5220/0003871105050508