Detection of Object Motion Regions in Aerial Image Pairs With a Multilayer Markovian Model
Csaba Benedek, Tamás Szirányi, Zoltán Kató, Josiane B. Zerubia · IEEE Transactions on Image Processing · 2009
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 (L(3)MRF) model which integrates information from two different features, and ensures connected homogenous regions in the segmented images. Validation is given on real aerial photos.