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HIERARCHICAL AND SPATIAL-COLORIMETRIC MODEL TO DETECT MOVING TARGETS

Topics: Camera Networks and Vision; Color and Texture Analyses; Features Extraction; Image-Based Modeling and 3D Reconstruction; Optical Flow and Motion Analyses; Segmentation and Grouping; Shape Representation and Matching; Tracking and Visual Navigation; Video Surveillance and Event Detection

Authors: C. Gabard 1 ; C. Achard 2 ; L. Lucat 1 and P. Sayd 1

Affiliations: 1 CEA and LIST, France ; 2 UPMC Univ Paris 06, France

ISBN: 978-989-8565-03-7

ISSN: 2184-4321

Keyword(s): MOG, SMOG, SGMM, Background Subtraction, Tracking, Foreground and Object Detection.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Camera Networks and Vision ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Geometry and Modeling ; Image and Video Analysis ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Pattern Recognition ; Segmentation and Grouping ; Shape Representation and Matching ; Software Engineering ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7 ISSN 2184-4321, pages 505-508. DOI: 10.5220/0003871105050508

@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 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={505-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003871105050508},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - HIERARCHICAL AND SPATIAL-COLORIMETRIC MODEL TO DETECT MOVING TARGETS
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Gabard, C.
AU - Achard, C.
AU - Lucat, L.
AU - Sayd, P.
PY - 2012
SP - 505
EP - 508
DO - 10.5220/0003871105050508

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