Motion-based object segmentation using local background sprites

Authors:
Andreas Krutz;Alexander Glantz;Thilo Borgmann;Michael Frater;Thomas Sikora
Affiliations:
Communication Systems Group, Technische Universität Berlin, Germany;Communication Systems Group, Technische Universität Berlin, Germany;Communication Systems Group, Technische Universität Berlin, Germany;School of IT and EE, University of New South Wales, Canberra, Australia;Communication Systems Group, Technische Universität Berlin, Germany
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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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.