Home > Research > Publications & Outputs > Background modeling using adaptive cluster dens...
View graph of relations

Background modeling using adaptive cluster density estimation for automatic human detection

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Background modeling using adaptive cluster density estimation for automatic human detection. / Mihaylova, L.; Maskell, S.; Bhaskar, H.

INFORMATIK 2007 Informatik trifft Logistik Band 2 Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) 24. - 27. September 2007 in Bremen. ed. / Otthein Herog; Karl-Heinz Rödiger; Marc Ronthaler ; Rainer Koschke. Bonn : Gesellschaft für Informatik, 2007. p. 130-134.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Mihaylova, L, Maskell, S & Bhaskar, H 2007, Background modeling using adaptive cluster density estimation for automatic human detection. in O Herog, K-H Rödiger, M Ronthaler & R Koschke (eds), INFORMATIK 2007 Informatik trifft Logistik Band 2 Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) 24. - 27. September 2007 in Bremen. Gesellschaft für Informatik, Bonn, pp. 130-134, Lecture Notes in Informatics - Proceedings from the 3rd German Workshop on Sensor Data Fusion: Trends, Solutions, Applications, Bremen, Germany, 24/09/07. <http://subs.emis.de/LNI/Proceedings/Proceedings110/article1706.html>

APA

Mihaylova, L., Maskell, S., & Bhaskar, H. (2007). Background modeling using adaptive cluster density estimation for automatic human detection. In O. Herog, K-H. Rödiger, M. Ronthaler , & R. Koschke (Eds.), INFORMATIK 2007 Informatik trifft Logistik Band 2 Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) 24. - 27. September 2007 in Bremen (pp. 130-134). Gesellschaft für Informatik. http://subs.emis.de/LNI/Proceedings/Proceedings110/article1706.html

Vancouver

Mihaylova L, Maskell S, Bhaskar H. Background modeling using adaptive cluster density estimation for automatic human detection. In Herog O, Rödiger K-H, Ronthaler M, Koschke R, editors, INFORMATIK 2007 Informatik trifft Logistik Band 2 Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) 24. - 27. September 2007 in Bremen. Bonn: Gesellschaft für Informatik. 2007. p. 130-134

Author

Mihaylova, L. ; Maskell, S. ; Bhaskar, H. / Background modeling using adaptive cluster density estimation for automatic human detection. INFORMATIK 2007 Informatik trifft Logistik Band 2 Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) 24. - 27. September 2007 in Bremen. editor / Otthein Herog ; Karl-Heinz Rödiger ; Marc Ronthaler ; Rainer Koschke. Bonn : Gesellschaft für Informatik, 2007. pp. 130-134

Bibtex

@inproceedings{0eaca1a7521f45e5bfe649d4d2bf0902,
title = "Background modeling using adaptive cluster density estimation for automatic human detection",
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.",
keywords = "automatic object detection, background subtraction, object tracking, clustering",
author = "L. Mihaylova and S. Maskell and H. Bhaskar",
year = "2007",
month = sep,
day = "24",
language = "English",
isbn = "978-3-88579-206-1",
pages = "130--134",
editor = "Herog, {Otthein } and R{\"o}diger, {Karl-Heinz } and {Ronthaler }, Marc and Rainer Koschke",
booktitle = "INFORMATIK 2007 Informatik trifft Logistik Band 2 Beitr{\"a}ge der 37. Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. (GI) 24. - 27. September 2007 in Bremen",
publisher = "Gesellschaft f{\"u}r Informatik",
note = "Lecture Notes in Informatics - Proceedings from the 3rd German Workshop on Sensor Data Fusion: Trends, Solutions, Applications ; Conference date: 24-09-2007 Through 27-09-2007",

}

RIS

TY - GEN

T1 - Background modeling using adaptive cluster density estimation for automatic human detection

AU - Mihaylova, L.

AU - Maskell, S.

AU - Bhaskar, H.

PY - 2007/9/24

Y1 - 2007/9/24

N2 - 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.

AB - 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.

KW - automatic object detection

KW - background subtraction

KW - object tracking

KW - clustering

M3 - Conference contribution/Paper

SN - 978-3-88579-206-1

SP - 130

EP - 134

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

A2 - Herog, Otthein

A2 - Rödiger, Karl-Heinz

A2 - Ronthaler , Marc

A2 - Koschke, Rainer

PB - Gesellschaft für Informatik

CY - Bonn

T2 - Lecture Notes in Informatics - Proceedings from the 3rd German Workshop on Sensor Data Fusion: Trends, Solutions, Applications

Y2 - 24 September 2007 through 27 September 2007

ER -