In this paper, the problem of constructing the whole view of a scene background from an image sequence is considered. First, point or block correspondence between each pair of successive frames is determined. Three parametric motion models are used: 2-D translation with scale change, affine, and projective. Motion parameters are estimated using either robust criteria and the Levenberg-Marquardt algorithm, or affine moment invariants. Then the parametric models are composed and all the frames are aligned, yielding a whole view of the scene background. A new technique is introduced for the correction of accumulated frame alignment errors. (C) 2003 Elsevier Science B.V. All rights reserved.