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A model-based approach to the tracking of extratropical atmospheric disturbances from a sequence of satellite cloud-cover images is presented. The estimation of motion of these spiral-shaped cloud systems (both translational and rotational motion) and the measurement of the evolution of their shape are considered. Tracking is achieved by recording from one image to the next the changes of the model parameter values. A maximum-likelihood criterion is used in fitting the model to sensed data. The defined model takes into account geometric and intensity aspects. The approach readily yields global information on the disturbance cloud system of interest. A modified version of the model that ensures greater robustness to noise is also presented.