Tracking in the presence of intermittent spurious objects and clutter
David J. Salmond, David J. Fisher, Neil J. Gordon · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
The sampling based bootstrap filter is applied to the problem of maintaining track on a target in the presence of intermittent spurious objects. This problem is formulated in a multiple hypothesis framework and the bootstrap filter is applied to generate the posterior distribution of the state vector of the required target - i.e. to generate the target track. The bootstrap technique facilitates the integration of the available information in a near-optimal fashion without the need to explicitly store and manage hypotheses from previous time steps.