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Conference/ProceedingsProceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009)
Start date19.04.2009
End date24.04.2009
AddressTaipei, Taiwan
OrganisationIEEE
PublisherIEEE
VolumeApril 2009
Pages1221 - 1224
Author(s)Andreas Krutz, Alexander Glantz, Thilo Borgmann, Michael Frater, Thomas Sikora
TitleMotion-Based Object Segmentation using Local Background Sprites
AbstractIt 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.
Key wordsobject segmentation, background modeling, mosaicing, global motion estimation
NoteISBN: 978-1-4244-2354-5
File1194Krutz2009.pdf

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