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Publications sur Camera motion
Résultat de la recherche dans la liste des publications :
Article |
1 - Detection of Object Motion Regions in Aerial Image Pairs with a Multi-Layer Markovian Model.
C. Benedek et T. Szirányi et Z. Kato et J. Zerubia. IEEE Trans. Image Processing, 18(10): pages 2303-2315, octobre 2009.
Mots-clés : Change detection, Aerial images, Camera motion, MRF.
@ARTICLE{benedekTIP09,
|
| author |
= |
{Benedek, C. and Szirányi, T. and Kato, Z. and Zerubia, J.}, |
| title |
= |
{Detection of Object Motion Regions in Aerial Image Pairs with a Multi-Layer Markovian Model}, |
| year |
= |
{2009}, |
| month |
= |
{octobre}, |
| journal |
= |
{IEEE Trans. Image Processing}, |
| volume |
= |
{18}, |
| number |
= |
{10}, |
| pages |
= |
{2303-2315}, |
| url |
= |
{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5089480}, |
| keyword |
= |
{Change detection, Aerial images, Camera motion, MRF} |
| } |
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 model which integrates information from two different features, and ensures connected homogeneous regions in the segmented images. Validation is given on real aerial photos. |
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Article de conférence |
1 - A Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs.
C. Benedek et T. Szirányi et Z. Kato et J. Zerubia. Dans Proc. IEEE International Conference on Image Processing (ICIP), Vol. 6, pages 141--144, San Antonio, Texas, USA, septembre 2007.
Mots-clés : Change detection, Aerial images, Camera motion, MRF.
Copyright : Copyright IEEE
@INPROCEEDINGS{benedek_ICIP07,
|
| author |
= |
{Benedek, C. and Szirányi, T. and Kato, Z. and Zerubia, J.}, |
| title |
= |
{A Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs}, |
| year |
= |
{2007}, |
| month |
= |
{septembre}, |
| booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
| volume |
= |
{6}, |
| pages |
= |
{141--144}, |
| address |
= |
{San Antonio, Texas, USA}, |
| url |
= |
{http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=4379541&isnumber=4379494&punumber=4378863&k2dockey=4379541@ieeecnfs&query=%28benedek+%3Cin%3E+metadata%29+%3Cand%3E+%284379494+%3Cin%3E+isnumber%29&pos=0}, |
| pdf |
= |
{http://web.eee.sztaki.hu/~bcsaba/Publications/Pdf/benedek_icip2007.pdf}, |
| keyword |
= |
{Change detection, Aerial images, Camera motion, MRF} |
| } |
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.) from the difference image. We describe the background membership of a given image point through two different features, and introduce a novel three-layerMarkov Random Field (MRF) model to ensure connected homogenous regions in the segmented image. |
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Rapport de recherche et Rapport technique |
1 - A Three-layer MRF model for Object Motion Detection in Airborne Images.
C. Benedek et T. Szirányi et Z. Kato et J. Zerubia. Rapport de Recherche 6208, INRIA, juin 2007.
Mots-clés : Aerial images, Change detection, Camera motion, MRF.
@TECHREPORT{benedek_INRIARR07,
|
| author |
= |
{Benedek, C. and Szirányi, T. and Kato, Z. and Zerubia, J.}, |
| title |
= |
{A Three-layer MRF model for Object Motion Detection in Airborne Images}, |
| year |
= |
{2007}, |
| month |
= |
{juin}, |
| institution |
= |
{INRIA}, |
| type |
= |
{Research Report}, |
| number |
= |
{6208}, |
| url |
= |
{https://hal.inria.fr/inria-00150805}, |
| pdf |
= |
{https://hal.inria.fr/inria-00150805}, |
| keyword |
= |
{Aerial images, Change detection, Camera motion, MRF} |
| } |
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