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Motion-Based Object Segmentation using Local Background Sprites
Citation key 1194Krutz2009
Author Andreas Krutz and Alexander Glantz and Thilo Borgmann and Michael Frater and Thomas Sikora
Title of Book Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009)
Pages 1221–1224
Year 2009
Address Taipei, Taiwan
Month apr
Note ISBN: 978-1-4244-2354-5
Publisher IEEE
Organization IEEE
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.
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