D. Heitz, E. Mémin, and C. Schnörr, Variational fluid flow measurements from image sequences: synopsis and perspectives, Experiments in Fluids, vol.28, issue.4, pp.369-393, 2010.
DOI : 10.1007/s00348-009-0778-3

URL : https://hal.archives-ouvertes.fr/hal-00456162

T. Corpetti, P. Héas, E. Mémin, and N. Papadakis, Pressure image assimilation for atmospheric motion estimation, Tellus A, vol.28, issue.3, pp.160-178, 2009.
DOI : 10.1111/j.1600-0870.2008.00370.x

URL : https://hal.archives-ouvertes.fr/inria-00273838

G. Evensen, The Ensemble Kalman Filter: theoretical formulation and practical implementation, Ocean Dynamics, vol.53, issue.4, pp.343-367, 2003.
DOI : 10.1007/s10236-003-0036-9

N. Papadakis, E. Mémin, A. Cuzol, and N. Gengembre, Data assimilation with the weighted ensemble Kalman filter, Tellus A: Dynamic Meteorology and Oceanography, vol.133, issue.6, pp.673-697, 2010.
DOI : 10.1080/01621459.1994.10476469

URL : https://hal.archives-ouvertes.fr/hal-00490840

C. H. Bishop, B. J. Etherton, and S. J. Majumdar, Adaptive Sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical Aspects, Monthly Weather Review, vol.129, issue.3, pp.420-436, 2001.
DOI : 10.1175/1520-0493(2001)129<0420:ASWTET>2.0.CO;2

M. K. Tippett, J. L. Anderson, C. H. Bishop, T. M. Hamill, and J. S. Whitaker, Ensemble Square Root Filters*, Monthly Weather Review, vol.131, issue.7, pp.1485-1490, 2003.
DOI : 10.1175/1520-0493(2003)131<1485:ESRF>2.0.CO;2

P. L. Houtekamer and H. L. Mitchell, A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation, Monthly Weather Review, vol.129, issue.1, pp.123-137, 2001.
DOI : 10.1175/1520-0493(2001)129<0123:ASEKFF>2.0.CO;2

T. Corpetti and E. Mémin, Stochastic Models for Local Optical Flow Estimation, Conf. on Scale Space and Variational Methods, 2011.
DOI : 10.1007/978-3-642-24785-9_59

URL : https://hal.archives-ouvertes.fr/hal-00694953