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Authors: Klaus Greff 1 ; André Brandão 2 ; Stephan Krauß 3 ; Didier Stricker 1 and Esteban Clua 4

Affiliations: 1 German Research Center for Artificial Intelligence (DFKI) and Technical University of Kaiserslautern, Germany ; 2 German Research Center for Artificial Intelligence (DFKI), Federal Fluminense University (UFF) and Technical University of Kaiserslautern, Germany ; 3 German Research Center for Artificial Intelligence (DFKI), Germany ; 4 Federal Fluminense University (UFF), Brazil

Keyword(s): Foreground Segmentation, Background Subtraction, Depth Camera, Kinect.

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

Abstract: Background subtraction is an important preprocessing step in many modern Computer Vision systems. Much work has been done especially in the field of color image based foreground segmentation. But the task is not an easy one so, state of the art background subtraction algorithms are complex both in programming logic and in run time. Depth cameras might offer a compelling alternative to those approaches, because depth information seems to be better suited for the task. But this topic has not been studied much yet, even though the release of Microsoft’s Kinect has brought depth cameras to the public attention. In this paper we strive to fill this gap, by examining some well known background subtraction algorithms for the use with depth images. We propose some necessary adaptions and evaluate them on three different video sequences using ground truth data. The best choice turns out to be a very simple and fast method that we call minimum background.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Greff, K.; Brandão, A.; Krauß, S.; Stricker, D. and Clua, E. (2012). A COMPARISON BETWEEN BACKGROUND SUBTRACTION ALGORITHMS USING A CONSUMER DEPTH CAMERA. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 431-436. DOI: 10.5220/0003849104310436

@conference{visapp12,
author={Klaus Greff. and André Brandão. and Stephan Krauß. and Didier Stricker. and Esteban Clua.},
title={A COMPARISON BETWEEN BACKGROUND SUBTRACTION ALGORITHMS USING A CONSUMER DEPTH CAMERA},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={431-436},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003849104310436},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - A COMPARISON BETWEEN BACKGROUND SUBTRACTION ALGORITHMS USING A CONSUMER DEPTH CAMERA
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Greff, K.
AU - Brandão, A.
AU - Krauß, S.
AU - Stricker, D.
AU - Clua, E.
PY - 2012
SP - 431
EP - 436
DO - 10.5220/0003849104310436
PB - SciTePress

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