Abstract
We present a method for segmenting moving transparent layers in video sequences. We assume that the images can be divided into areas containing at most two moving transparent layers. We call this configuration (which is the mostly encountered one) bi-distributed transparency. The proposed method involves three steps: initial block-matching for two-layer transparent motion estimation, motion clustering with 3D Hough transform, and joint transparent layer segmentation and parametric motion estimation. The last step is solved by the iterative minimization of a MRF-based energy function. The segmentation is improved by a mechanism detecting areas containing one single layer. The framework is applied to various image sequences with satisfactory results.
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References
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© 2006 Springer-Verlag Berlin Heidelberg
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Auvray, V., Bouthemy, P., Liénard, J. (2006). Motion-Based Segmentation of Transparent Layers in Video Sequences. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_40
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DOI: https://doi.org/10.1007/11848035_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39392-4
Online ISBN: 978-3-540-39393-1
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