Detection of object motion regions in aerial image pairs with a multilayer markovian model.
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.
Benedek
Csaba
C
Distributed Events Analysis Research Group, Computer and Automation Research Institute, H-1111, Kende utca 13-17, Budapest, Hungary. bcsaba@sztaki.hu
Szirányi
Tamás
T
Kato
Zoltan
Z
Zerubia
Josiane
J
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