Video Matting Using Motion Extended GrabCut.
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2008Citation:
D. Corrigan, S. Robinson and A. Kokaram, Video Matting Using Motion Extended GrabCut., IET European Conference on Visual Media Production (CVMP), London, UK., IEEE, 2008, 1-9Download Item:
Abstract:
GrabCut is perhaps the most powerful semi-automatic
algorithm for matting presented to date. In its existing
form, it is not suitable for video object segmentation. This
paper considers major extensions that make it suitable for
this purpose. A method for initialising matting without
user intervention is presented, followed by a more robust
data model using a Mean Shift algorithm to control model
complexity. In addition, normalised motion information
as well as colour is used to form joint colour and motion
feature vectors. This improves the robustness of the mattes
in the presence of colour camouflage and decreases the user
intervention required for a successful result. Comparison
between GrabCut and the proposed Motion Extended GrabCut
(MxGrabCut), shows the improvement for video matting.
Author's Homepage:
http://people.tcd.ie/akokaramhttp://people.tcd.ie/dacorrig
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PUBLISHEDLondon, UK.
Author: CORRIGAN, DAVID; KOKARAM, ANIL CHRISTOPHER
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