Displacement field estimation using a coupled Gauss-Markov model

James C. Brailean; Aggelos K. Katsaggelos

doi:10.1117/12.130976

1 August 1992 Displacement field estimation using a coupled Gauss-Markov model

James C. Brailean, Aggelos K. Katsaggelos

Proceedings Volume 1778, Imaging Technologies and Applications; (1992) https://doi.org/10.1117/12.130976
Event: Optical Engineering Midwest 1992, 1992, Chicago, IL, United States

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.

Citation Download Citation

James C. Brailean and Aggelos K. Katsaggelos "Displacement field estimation using a coupled Gauss-Markov model", Proc. SPIE 1778, Imaging Technologies and Applications, (1 August 1992); https://doi.org/10.1117/12.130976

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