Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


INFORMATIK 2007 Informatik trifft Logistik Band 2 Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) 24. - 27. September 2007 in Bremen P-110, 130-134 (2007).

Gesellschaft für Informatik, Bonn
2007


Editors

Otthein Herzog (ed.), Karl-Heinz Rödiger (ed.), Marc Ronthaler (ed.), Rainer Koschke (ed.)


Copyright © Gesellschaft für Informatik, Bonn

Contents

Background modeling using adaptive cluster density estimation for automatic human detection

L. Mihaylova , S. Maskell and H. Bhaskar

Abstract


Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background subtraction (BS) refers to the process of segmenting moving regions from video sensor data and is usually performed at pixel level. In its standard form this technique involves building a model of the background and extracting regions of the foreground. In this paper, we propose a cluster-based BS technique using a mixture of Gaussians. An adaptive mechanism is developed that allows automated learning of the model parameters. The efficiency of the designed technique is demonstrated in comparison with a pixel-based BS [ZdH06].


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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-206-1


Last changed 04.10.2013 18:14:55