LOCAL KERNEL COLOR HISTOGRAMS FOR BACKGROUND SUBTRACTION

Philippe Noriega; Benedicte Bascle; Olivier Bernier

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Paper

LOCAL KERNEL COLOR HISTOGRAMS FOR BACKGROUND SUBTRACTION

Topics: Segmentation and Grouping

In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 213-219, 2006 , Setúbal, Portugal

Authors: Philippe Noriega ; Benedicte Bascle and Olivier Bernier

Affiliation: France Telecom, Recherche & Developpement, France

Keyword(s): Histograms, background subtraction, color quantization.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: In addition to being invariant to image rotation and translation, histograms have the advantage of being easy to compute. These advantages make histograms very popular in computer vision. However, without data quantization to reduce size, histograms are generally not suitable for realtime applications. Moreover, they are sensitive to quantization errors and lack any spatial information. This paper presents a way to keep the advantages of histograms avoiding their inherent drawbacks using local kernel histograms. This approach is tested for background subtraction using indoor and outdoor sequences.

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Paper citation in several formats:

Noriega, P.; Bascle, B. and Bernier, O. (2006). LOCAL KERNEL COLOR HISTOGRAMS FOR BACKGROUND SUBTRACTION. In Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP; ISBN 972-8865-40-6; ISSN 2184-4321, SciTePress, pages 213-219. DOI: 10.5220/0001363302130219

@conference{visapp06,
author={Philippe Noriega. and Benedicte Bascle. and Olivier Bernier.},
title={LOCAL KERNEL COLOR HISTOGRAMS FOR BACKGROUND SUBTRACTION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP},
year={2006},
pages={213-219},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001363302130219},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP
TI - LOCAL KERNEL COLOR HISTOGRAMS FOR BACKGROUND SUBTRACTION
SN - 972-8865-40-6
IS - 2184-4321
AU - Noriega, P.
AU - Bascle, B.
AU - Bernier, O.
PY - 2006
SP - 213
EP - 219
DO - 10.5220/0001363302130219
PB - SciTePress