1. A method characterized by a track parameters estimation unit which realizes the steps of starting estimation from the lowest resolution level (m=m max ); estimating track parameters (p) for a single level by using complex discrete wavelet transforms at this level (m) wherein estimation of the track parameters (p) is performed by defining a parametric motion model (M(x;p (m) )) for the selected area and estimating the track parameters (p) in the CDWT domain satisfying the equality of 
 D (s,m) ( x,t n-1 )− D (s,m) ( M ( x;p (m) ), t n )= e (s,m) ( x ) where D (s,m) (x,t) denotes the CDWT coefficient at location x of the detailed subband s of level m of the video frame at time t and e (s,m) denotes the CDWT subband noise; adding track parameters (p) to the cumulative track parameters (p′); scaling the cumulative tracking parameters (p′) to the next upper resolution level (m−1); if the current level (m) is the uppermost resolution level (m=m min ), completing the estimation of the track parameters where the solution is provided in the cumulative track parameters (p′) scaled to the original resolution level (m=0); if the current level is not the uppermost resolution level (m≠m min ), warping the coefficients of the complex discrete wavelet transform of the first image at the next upper level (m−1) according to the motion model M by using the cumulative track parameters p′; proceeding to the next upper resolution level (m=m−1) and continuing with the step of estimating the track parameters.