title: Detection of object motion regions in aerial image pairs with a multilayer markovian model.
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 (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.
authors: Distributed Events Analysis Research Group, Computer and Automation Research Institute, H-1111, Kende utca 13-17, Budapest, Hungary. bcsaba@sztaki.hu
authors: Csaba
authors: C
authors: Benedek
authors: Tamás
authors: T
authors: Szirányi
authors: Zoltan
authors: Z
authors: Kato
authors: Josiane
authors: J
authors: Zerubia
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008390:Markov Chains; D009038:Motion; D010363:Pattern Recognition, Automated / Q000379:methods*; D010780:Photogrammetry / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique