@INPROCEEDINGS{1194Krutz2009,
	AUTHOR = {Andreas Krutz and Alexander Glantz and Thilo Borgmann and Michael Frater and Thomas Sikora},
	TITLE = {Motion-Based Object Segmentation using Local Background Sprites},
	BOOKTITLE = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009)},
	YEAR = {2009},
	MONTH = apr,
	PUBLISHER = {IEEE},
	PAGES = {1221--1224},
	ORGANIZATION = {IEEE},
	ADDRESS = {Taipei, Taiwan},
	NOTE = {ISBN: 978-1-4244-2354-5},
	PDF = {http://elvera.nue.tu-berlin.de/files/1194Krutz2009.pdf},
	URL = {http://elvera.nue.tu-berlin.de/files/1194Krutz2009.pdf},
	ABSTRACT = {It is well known that video material with a static background allows easier segmentation than that with a moving background. One approach to segmentation of sequences with a moving background is to use preprocessing to create a static background, after which conventional background subtraction techniques can be used for segmenting foreground objects. It has been recently shown that global motion estimation and/or background sprite generation techniques are reliable. We propose a new background modeling technique for object segmentation using local background sprite generation. Experimental results show the excellent performance of this new method compared to recent algorithms proposed.}
}