Conventional target tracking approaches rely on numerical correlation over successive frames on a window around the target. They are, therefore, sensitive to partial obscuration and changes in target and background appearances. Further, multiple target tracking requires replication of the hardware. In this paper, we present a multiple target tracking approach based on a dynamic scene model, derived from the analysis of a time sequence of imagery. Simulation results demonstrate multiple target tracking in cluttered backgrounds and in imagery from fast moving platforms. The approach is implementable as an integral part of the Honeywell target screener system. Several multitarget tracking application scenarios eminently suited to this approach are identified.