STREAMING CLUSTERING ALGORITHMS FOR FOREGROUND DETECTION IN COLOR VIDEOS

Zoran Duric, Wallace E. Lawson, Dana Richards

Abstract

A new method is given for locating foreground objects in color videos.This is an essential task in many applications such as surveillance. The algorithm uses clustering techniques to permit flexibility and adaptability in the description of the background. The approach is an example of the streaming data paradigm of algorithms design, which only permits limited information to be retained about previous video frames. Experimental results show that it is an effective and robust technique.

Download


Paper Citation


in Harvard Style

Duric Z., E. Lawson W. and Richards D. (2007). STREAMING CLUSTERING ALGORITHMS FOR FOREGROUND DETECTION IN COLOR VIDEOS . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 486-491. DOI: 10.5220/0002061104860491


in Bibtex Style

@conference{visapp07,
author={Zoran Duric and Wallace E. Lawson and Dana Richards},
title={STREAMING CLUSTERING ALGORITHMS FOR FOREGROUND DETECTION IN COLOR VIDEOS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={486-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002061104860491},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - STREAMING CLUSTERING ALGORITHMS FOR FOREGROUND DETECTION IN COLOR VIDEOS
SN - 978-972-8865-74-0
AU - Duric Z.
AU - E. Lawson W.
AU - Richards D.
PY - 2007
SP - 486
EP - 491
DO - 10.5220/0002061104860491