Motion-based segmentation of transparent layers in video sequences

Authors:
Vincent Auvray;Patrick Bouthemy;Jean Liénard
Affiliations:
IRISA/INRIA, Rennes, France;IRISA/INRIA, Rennes, France;General Electric Healthcare, Buc, France
Venue:
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Year:
2006

Citing 3
Cited 1

Motion estimation of transparent objects in the frequency domain

Signal Processing
Multiple motion estimation and segmentation in transparency

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
A robust multiscale B-spline function decomposition for estimating motion transparency

IEEE Transactions on Image Processing

Jointmotion estimation and layer segmentation in transparent image sequenc: application to noise reduction in X-ray image sequences

EURASIP Journal on Advances in Signal Processing

Quantified Score

Hi-index	0.00

Visualization

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.