Adaptive estimation approach to estimating displacement in time varying images

In this paper an approach for estimating the displacement of objects in successive frames of images is introduced. The algorithm operates on data that has been produced by an adaptive estimation redundancy removal technique. This approach has the added advantage over the pel-recursive and the coefficient recursive algorithms in that no frame to frame gradient vector calculation is required. Experimental results on generated images are presented for the purpose of comparing the stability of the algorithm with that of other displacement estimation algorithms.