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

Csaba Benedek, Tamás Szirányi, Zoltan Kato, Josiane Zerubia

Research output: Contribution to journalArticle

25 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)2303-2315
Number of pages13
JournalIEEE Transactions on Image Processing
Issue number10
Publication statusPublished - Oct 1 2009



  • Aerial images
  • Camera motion
  • Change detection
  • Markov random field (MRF)

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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