Displacement field estimation using a coupled Gauss-Markov model

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Abstract
In this paper, we develop a model-based algorithm for obtaining the maximum a posteriori (MAP) estimate of the displacement vector field (DVF) from two consecutive image frames of an image sequence. To model the DVF, we develop a nonstationary vector field model called the Vector Coupled Gauss-Markov (VCGM) model. The VCGM model is well suited for estimating the DVF, since the resulting estimates preserve the boundaries between the moving and stationary areas in an image sequence. Thus, the model-based MAP estimator that we develop has the ability to adapt to the discontinuities of the DVF. Experiments with a typical video-conferencing sequence demonstrate the superior performance of the proposed algorithm with respect to prediction error and robustness to occlusions.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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