B. K. Horn and B. G. Schunk, Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981.
DOI : 10.1016/0004-3702(81)90024-2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1651

I. Cohen and I. Herlin, Optical flow and phase portrait methods for environmental satellite image sequences, Proceedings of European Conference on Computer Vision, 1996.
DOI : 10.1007/3-540-61123-1_134

URL : https://hal.archives-ouvertes.fr/inria-00626437

E. Mémin, P. Pérez, T. Isambert, J. P. Berroir, I. Herlin et al., Dense estimation and object-based segmentation of the optical flow with robust techniques, Proceedings of European Conference on Computer Vision Proceedings of Asian Conference on Computer Vision, pp.703-719, 1998.
DOI : 10.1109/83.668027

D. Béréziat and I. Herlin, Solving ill-posed image processing problems using data assimilation, Numerical Algorithms, vol.52, issue.2 7, pp.219-252, 2011.

O. Titaud, A. Vidard, I. Souopgui, and F. Dimet, Assimilation of image sequences in numerical models, Tellus A: Dynamic Meteorology and Oceanography, vol.105, issue.8, pp.30-47, 2010.
DOI : 10.1111/j.1600-0870.2009.00416.x

URL : https://hal.archives-ouvertes.fr/inria-00332815

I. Herlin and K. Drifi, Learning reduced models for motion estimation on long temporal image sequences, 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012.
DOI : 10.1109/IGARSS.2012.6351591

URL : https://hal.archives-ouvertes.fr/hal-00730515

K. Drifi and I. Herlin, Coupling reduced models for optimal motion estimation, International Conference on Image Processing, pp.2651-2654, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00803622

I. Huot, G. Herlin, and . Papari, Optimal Orthogonal Basis and Image Assimilation: Motion Modeling, 2013 IEEE International Conference on Computer Vision, 2013.
DOI : 10.1109/ICCV.2013.416

URL : https://hal.archives-ouvertes.fr/hal-00871330