A multi-layer MRF model for object-motion detection in unregistered airborne image-pairs

Benedek, Csaba and Szirányi, Tamás and Kato, Zoltán and Zerubia, Josiane (2007) A multi-layer MRF model for object-motion detection in unregistered airborne image-pairs. In: ICIP 2007. IEEE international conference on image processing. San Antonio, 2007..

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Abstract

In this paper, we give a probabilistic model for automatic change detection on airborne images taken with moving cameras. To ensure robustness, we adopt an unsupervised coarse matching instead of a precise image registration. The challenge of the proposed model is to eliminate the registration errors, noise and the parallax artifacts caused by the static objects having considerable height (buildings, trees, walls etc.) fromthe difference image. We describe the backgroundmembership of a given image point through two different features, and introduce a novel three-layerMarkov RandomField (MRF) model to ensure connected homogenous regions in the segmented image.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Distributed Events Analysis Research Laboratory
Depositing User: Eszter Nagy
Date Deposited: 11 Dec 2012 15:29
Last Modified: 17 Feb 2014 12:20
URI: http://eprints.sztaki.hu/id/eprint/4899

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