A real-time tracking algorithm for estimating the positions, motions a
nd dimensions of unknown objects in image sequences is presented. Proc
essing is based on the dynamic model of the motion imaging situation a
nd on Kalman filter theory. Experimental results on synthetic and real
images demonstrate the applicability of the algorithm to surveillance
systems.