Displacement field estimation using a coupled Gauss-Markov model

James C. Brailean*, Aggelos K Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Number of pages12
ISBN (Print)0819409502
StatePublished - Dec 1 1992
EventImaging Technologies and Applications - Chicago, IL, USA
Duration: Mar 19 1992Mar 19 1992


OtherImaging Technologies and Applications
CityChicago, IL, USA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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