P. Ashwanden and W. , Experimental results from a comparative study on correlation-type registration algorithms, Robust Comput, Vision, pp.268-289, 1993.

E. Benoit and L. Foulloy, Symbolic sensors, Proc. Eighth Internat. Symp. on Artificial Intelligence Based Measurement and Control (AIMaC'91), pp.131-136, 1991.
URL : https://hal.archives-ouvertes.fr/hal-00143363

M. Bennamoun, J. Banks, and P. Corke, Fast and robust stereo matching algorithms for mining automation, Proc. JAF 97, pp.139-149, 1997.

J. C. Bezdek, D. N. Bhat, and S. K. Nayar, Pattern Recognition with Fuzzy Objective Function Algorithms Motion estimation using ordinal measures, Proc IEEE Conf. on Computer Vision and Pattern Recognition, p.41, 1981.

A. Branca, G. Cicirelli, E. Stella, and A. Distante, Mobile vehicles egomotion estimation from time varying image sequences, Proc. IEEE 43
DOI : 10.1109/robot.1997.619063

T. Brox, A. Bruhn, N. Papenberg, and J. Weickert, High Accuracy Optical Flow Estimation Based on a Theory for Warping, Proc. Eighth Euro. Conf. 45 on Computer Vision, pp.25-36, 2004.
DOI : 10.1007/978-3-540-24673-2_3

F. Comby, Estimation du movement apparent majoritaire dans une séquence video par accumulation de votes bimodaux sur un histogramme 47 approché, 2001.

F. Comby, O. Strauss, and M. J. Aldon, Fuzzy approach of motion estimation, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), p.49
DOI : 10.1109/FUZZ.2001.1009013

D. M. Cox-]-g and . Davis, NOTES ON THE ANALYSIS OF MIXED FREQUENCY1 DISTRIBUTIONS, British Journal of Mathematical and Statistical Psychology, vol.19, issue.1, pp.39-47, 1966.
DOI : 10.1111/j.2044-8317.1966.tb00353.x

D. Dubois and H. Prade, ROUGH FUZZY SETS AND FUZZY ROUGH SETS*, International Journal of General Systems, vol.6, issue.2-3, pp.2-3, 1990.
DOI : 10.1016/S0020-7373(86)80001-3

D. Dubois, H. Prade, and C. Testemale, Weighted fuzzy pattern matching, Fuzzy Sets and Systems, pp.313-331, 1988.

C. Fermüller, D. Shulman, Y. J. Aloimonos-]-d, J. L. Fleet, S. S. Barron et al., The statistics of optical flow Systems and experiment: performance of optical flow techniques, Comput. Vision Image Understanding Internat. J. Comput. Vision, vol.8217, issue.121, pp.1-32, 1994.

A. Giachetti, Matching techniques to compute image motion, Image and Vision Computing, vol.18, issue.3, pp.247-260, 2000.
DOI : 10.1016/S0262-8856(99)00018-9

N. Gracias, J. Santos-victor, R. Hartley, A. Zisserman, D. J. Fleet et al., Automatic mosaic creation of the ocean floor Multiple View Geometry Determining optical flow, Artif, Proc. IEEE OCEANS'98 Robust online appearance models for visual tracking Proc. IEEE Conf. on Computer Vision and 13 Pattern Recognition, pp.257-262, 1981.

J. K. Kearnay, W. B. Thompson, and D. L. Boley, Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.9, issue.2
DOI : 10.1109/TPAMI.1987.4767897

B. D. Lucas and T. Kanade, An iterative image registration technique with an application to stereo vision, Proc. Seventh Internat. Joint Conf. on 17

E. Mémin and P. Perez, Dense estimation and object-based segmentation of the optical flow with robust techniques, IEEE Transactions on Image Processing, vol.7, issue.5, pp.703-719, 1998.
DOI : 10.1109/83.668027

A. Mitiche and P. Bouthemy, Computation and analysis of image motion: A synopsis of current problems and methods, International Journal of Computer Vision, vol.7, issue.4, pp.19-29, 1996.
DOI : 10.1007/BF00131147

R. , M. D. Murray, and A. Basu, Motion tracking with an active camera, Proc. IEEE Internat. Conf. on Computer Vision and Pattern Recognition, pp.23-449, 1979.

S. Negahdaripour, Revised definition of optical flow: integration of radiometric and geometric cues for dynamic scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.9, pp.961-979, 1998.
DOI : 10.1109/34.713362

J. M. Odobez and P. Bouthemy, Robust Multiresolution Estimation of Parametric Motion Models, Journal of Visual Communication and Image Representation, vol.6, issue.4, pp.348-365, 1995.
DOI : 10.1006/jvci.1995.1029

Z. Pawlak, Rough Sets and Decision Algorithms, Proc. Second Internat. Conf. on Rough Sets and Current Trends in Computing, p.31
DOI : 10.1007/3-540-45554-X_3

URL : http://bcpw.bg.pw.edu.pl/Content/1912

S. Peleg, B. Rousso, A. Acha, and A. Zomet, Mosaicing on adaptive manifolds, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.10, pp.1144-1154, 2000.
DOI : 10.1109/34.879794

B. W. Silverman, Density Estimation for Statistics and Data Analysis, Monographs on Statistics and Applied Probability, p.35
DOI : 10.1007/978-1-4899-3324-9

A. Singh, Optical Flow Computation: a Unified Perspective 37 [36] P. Smets, Constructing the pignistic probability function in a context of uncertainty, Uncertainty in Artificial Intelligence, vol.5, pp.29-39, 1990.

P. Smets, R. Kennes, S. Starks, V. Kreinovich, and A. , The transferable belief model Multi-resolution data processing: it is necessary, it is possible, it is fundamental, Proc. Internat. Conf. 41 on Intelligent Systems and Semiotics (ISAS'97), National Institute of Standards and Technology Publication, pp.39-191, 1994.

C. Stiller and J. Konrad, Estimating motion in image sequences a tutorial on modeling and computation of 2-D motion, Signal Process, Mag, vol.16, pp.43-70, 1999.

O. Strauss, Use the Fuzzy Hough transform towards reduction of the precision/uncertainty duality, Pattern Recognition, vol.32, issue.11, pp.1911-1922, 1999.
DOI : 10.1016/S0031-3203(99)00013-8

O. Strauss-]-o, F. Strauss, M. Comby, and . Aldon, Imprecise statistics with quasi-continuous histograms, Rough histograms for robust statistics Proc. Internat. Conf. on Pattern Recognition, pp.47-89, 2000.

J. Weber, J. Malik, T. H. Wonnacott, and R. J. Wonnacott, Robust computation of optical flow in a multi-scale differential framework, Internat, 46] R. Zabih, J. Woodfill, Non-parametric local transforms for computing visual correspondance Third Euro. Conf. on Computer Vision, pp.49-67, 1990.

L. Zelnik-manor and M. Irani, Multi-frame estimation of planar motion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.10, pp.1105-1116, 2000.
DOI : 10.1109/34.879791