Distributed parameter systems approach to feature extraction and motion estimation in image sequences

Abstract

An integrated or ‘weak’ solution approach to a distributed parameter system model for dynamic image sequences forms the basis for a feature extraction and motion estimation algorithm. Motion parameters may be estimated using either least-squares techniques or, in the case of multiple targets, clustering procedures. Experimental results are shown.