H. El, ?. Askary, A. Agarwal, T. El, ?. Ghazawi et al., Enhancing dust storm detection using PCA based data fusion, Geoscience and Remote Sensing Symposium, pp.1424-1427, 2005.

S. T. Barnard and W. B. Thompson, Disparity Analysis of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.2, issue.4, pp.333-340, 1980.
DOI : 10.1109/TPAMI.1980.4767032

J. Besag, On the statistical analysis of dirty images, Journal of Royal Statistics Society B, vol.48, issue.3, pp.259-302, 1986.

J. Bouguet, Pyramidal Implementation of the Lucas Kanade Feature Tracker: Description of the Algorithm, 1999.

J. K. Cheng and T. S. Huang, Image registration by matching relational structures, Pattern Recognition, vol.17, issue.1, pp.149-159, 1984.
DOI : 10.1016/0031-3203(84)90042-6

D. Farin and P. With, Misregistration errors in change detection algorithms and how to avoid them, IEEE International Conference on Image Processing 2005, pp.438-441, 2005.
DOI : 10.1109/ICIP.2005.1530086

W. Feller, An introduction to probability theory and its applications, Wiley Series in Probability and Mathematical Statistics, p.219, 1966.

S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.6, issue.6, pp.721-741, 1984.

R. Hartley and A. Zissermann, Multiple View Geometry in Computer Vision, 2000.
DOI : 10.1017/CBO9780511811685

H. Hirschmüller, P. R. Innocent, and J. Garibaldi, Real-time correlation-based stereo vision with reduced border errors, International Journal of Computer Vision, vol.47, issue.1/3, pp.229-246, 2002.
DOI : 10.1023/A:1014554110407

H. Hirschmüller, F. Scholten, and G. Hirzinger, Stereo Vision Based Reconstruction of Huge Urban Areas from an Airborne Pushbroom Camera (HRSC), Proc. 27th DAGM Symposium, pp.58-66, 2005.
DOI : 10.1007/11550518_8

Q. Iqbal and J. K. Aggarwaly, Feature Integration, Multi-image Queries and Relevance Feedback in Image Retrieval, International Conference on Visual Information Systems, pp.467-474, 2003.

M. Irani and P. Anandan, A unified approach to moving object detection in 2D and 3D scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.6, pp.577-589, 1998.
DOI : 10.1109/34.683770

P. Jodoin and M. Mignotte, Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues, Proc. of International Conference on Image Analysis and Recognition, pp.778-788, 2005.
DOI : 10.1007/11559573_95

Z. Kato, T. C. Pong, and G. Q. Song, Multicue MRF image segmentation: combining texture and color features, Object recognition supported by user interaction for service robots, pp.660-663, 2002.
DOI : 10.1109/ICPR.2002.1044836

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.204.77

Z. Kato, T. C. Pong, and G. Q. Song, Unsupervised segmentation of color textured images using a multi-layer MRF model, Proc. of International Conference on Image Processing, pp.961-964, 2003.

Z. Kato and T. C. Pong, Video Object Segmentation Using a Multicue Markovian Model, Proc. Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition, pp.111-118, 2005.

Z. Kato and T. C. Pong, A Multi-Layer MRF Model for Video Object Segmentation, Proc. of Asian Conference on Computer Vision, pp.953-962, 2006.
DOI : 10.1007/11612704_95

Z. Kato and T. C. Pong, A Markov random field image segmentation model for color textured images, Image and Vision Computing, vol.24, issue.10, pp.1103-1114, 2006.
DOI : 10.1016/j.imavis.2006.03.005

Z. Kato, J. Zerubia, and M. Berthod, Satellite image classification using a modified Metropolis dynamics, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.573-576, 1992.
DOI : 10.1109/ICASSP.1992.226148

S. Khan and M. Shah, Object based segmentation of video using color, motion and spatial information, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.746-751, 2001.
DOI : 10.1109/CVPR.2001.991039

S. Kumar, M. Biswas, and T. Nguyen, Global motion estimation in frequency and spatial domain, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.333-336, 2004.
DOI : 10.1109/ICASSP.2004.1326549

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.4812

S. Kumar and U. B. Desai, New algorithms for 3D surface description from binocular stereo using integration, Journal of the Franklin Institute, vol.331, issue.5, pp.531-554, 1994.
DOI : 10.1016/0016-0032(94)90036-1

R. Kumar, R. H. Sawhney, S. Samarasekera, S. Hsu, H. Tao et al., Aerial video surveillance and exploitation, Proceeding of the IEEE, pp.1518-1539, 2001.
DOI : 10.1109/5.959344

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.2557

A. Kushki, P. Androutsos, K. N. Plataniotis, and A. N. Venetsanopoulos, Retrieval of Images From Artistic Repositories Using a Decision Fusion Framework, IEEE Transactions on Image Processing, vol.13, issue.3, pp.277-292, 2004.
DOI : 10.1109/TIP.2003.821350

L. Li and M. K. Leung, Integrating intensity and texture differences for robust change detection, IEEE Trans. on Image Processing, vol.11, issue.2, pp.105-112, 2002.

B. Lucas and T. Kanade, An Iterative Image Registration Technique with an Application to Stereo Vision, Proc. of 7th International Joint Conference on Artificial Intelligence, pp.674-679, 1981.

L. Lucchese, Estimating affine transformations in the frequency domain, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.909-912, 2001.
DOI : 10.1109/ICIP.2001.958642

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953.
DOI : 10.1063/1.1699114

I. Miyagawa and K. Arakawa, Motion and shape recovery based on iterative stabilization for modest deviation from planar motion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.7, pp.1176-1181, 2006.
DOI : 10.1109/TPAMI.2006.147

J. M. Odobez and P. Bouthemy, Detection of multiple moving objects using multiscale MRF with camera motion compensation, Proceedings of 1st International Conference on Image Processing, pp.257-261, 1994.
DOI : 10.1109/ICIP.1994.413571

D. T. Oram, Rectification for any epipolar geometry, Procedings of the British Machine Vision Conference 2001, pp.653-662, 2001.
DOI : 10.5244/C.15.67

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.8827

R. Pless, T. Brodsky, and Y. Aloimonos, Detecting independent motion: the statistics of temporal continuity, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.68-73, 2000.
DOI : 10.1109/34.868679

R. Potts, Some generalized order-disorder transformations, Mathematical Proceedings of the Cambridge Philosophical Society, vol.48, issue.01, pp.106-109, 1952.
DOI : 10.1103/PhysRev.60.252

B. Reddy and B. Chatterji, An FFT-based technique for translation, rotation, and scale-invariant image registration, IEEE Transactions on Image Processing, vol.5, issue.8, pp.1266-1271, 1996.
DOI : 10.1109/83.506761

E. Saber and A. Tekalp, Integration of color, edge, shape, and texture features for automatic region-based image annotation and retrieval, Journal of Electronic Imaging, vol.7, issue.3, pp.684-700, 1998.

H. S. Sawhney, Y. Guo, and R. Kumar, Independent motion detection in 3D scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.10, pp.1191-1199, 2000.
DOI : 10.1109/34.879803

C. Sun, Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum- Surface Techniques, International Journal of Computer Vision, vol.47, issue.1/3, pp.99-117, 2002.
DOI : 10.1023/A:1014585622703

Z. Szlávik, T. Szirányi, and L. Havasi, Stochastic View Registration of Overlapping Cameras Based on Arbitrary Motion, IEEE Transactions on Image Processing, vol.16, issue.3, pp.710-720, 2007.
DOI : 10.1109/TIP.2007.891158

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-518, 2001.
DOI : 10.1109/CVPR.2001.990517

Y. Wang, K. Loe, and J. Wu, A dynamic conditional random field model for foreground and shadow segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.2, pp.279-89, 2006.
DOI : 10.1109/TPAMI.2006.25

J. Weng, N. Ahuja, and T. S. Huang, Matching two perspective views, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.8, pp.806-825, 1992.
DOI : 10.1109/34.149592

Z. Zhang, R. Deriche, O. Faugeras, and Q. Luong, A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry, Artificial Intelligence, vol.78, issue.1-2, pp.87-119, 1995.
DOI : 10.1016/0004-3702(95)00022-4

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