This paper describes a parametric motion model estimation algorithm . Motivationsudfor the use of such models are on the one hand their compactness, which hasudproved to be efficient in numerous contexts such as estimation, segmentation,udtracking and interpretation of motion, and on the other hand, the low computationaludcost of its estimations . However, it is important to have the best accuracy for theudestimated parameters, and to take into account the problem of multiple motion .udWe therefore developed two M-estimator-like estimators in a multiresolutionudframework. Numerical results support this approach, as demonstrated by the useudof these algorithms on complex sequences .
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