Title :
Detection of Object Motion Regions in Aerial Image Pairs With a Multilayer Markovian Model
Author :
Benedek, Csaba ; Szirányi, Tamás ; Kato, Zoltan ; Zerubia, Josiane
Author_Institution :
Distrib. Events Anal. Res. Group, Comput. & Autom. Res. Inst., Budapest, Hungary
Abstract :
We propose a new Bayesian method for detecting the regions of object displacements in aerial image pairs. We use a robust but coarse 2D 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 3MRF) model which integrates information from two different features, and ensures connected homogenous regions in the segmented images. Validation is given on real aerial photos.
Keywords :
Bayes methods; Markov processes; feature extraction; image motion analysis; image registration; image segmentation; object detection; random processes; Bayesian method; L3MRF model; aerial image pairs; change map; image registration; image segmentation; multilayer Markovian model; object displacement; object motion detection; real aerial photo; three-layer Markov random field; Aerial images; Markov random field (MRF); camera motion; change detection; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Markov Chains; Motion; Pattern Recognition, Automated; Photogrammetry; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2009.2025808
