Detection of object motion regions in aerial image pairs with a multilayer Markovian model

Authors:
Csaba Benedek;Tamás Szirányi;Zoltan Kato;Josiane Zerubia
Affiliations:
Computer and Automation Research Institute, Budapest, Hungary;Computer and Automation Research Institute, Budapest, Hungary;Department of Image Processing and Computer Graphics, University of Szeged, Szeged, Hungary;INRIA-I3S, Sophia Antipolis Cedex, France
Venue:
IEEE Transactions on Image Processing
Year:
2009

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Abstract

We propose a new Bayesian method for detecting the regions of object displacements in aerial image pairs. We use a robust but coarse 2-D image registration algorithm. Our main challenge is to eliminate the registration errors from the extracted change map. We introduce a three-layer Markov random field (L3MRF) model which integrates information from two different features, and ensures connected homogenous regions in the segmented images. Validation is given on real aerial photos.