Patent ID: 9171212
Filing Date: 2015-10-27
Classification: G06K,G06N

Abstract:
1. A method of determining a convergence location of a plurality of tracked entities in a detection scenario, the method comprising: storing, in at least one datastore, a set of convergence hypotheses for the detection scenario, wherein each of the convergence hypotheses in the set is associated with a plurality of entities being tracked, a convergence location estimate, a convergence location error, and a score indicating a likelihood that the convergence hypothesis is correct; receiving a position report for at least one entity that is being tracked within an area of interest for the detection scenario; determining, with at least one processor, a projected track of the at least one entity based, at least in part, on a position history of the at least one entity; updating a first convergence hypothesis in the set of convergence hypotheses based, at least in part, on the determined projected track of the at least one entity, wherein updating the first convergence hypothesis comprises updating the convergence location estimate for the first convergence hypothesis, the score for the first convergence hypothesis, or the convergence location estimate for the first hypothesis and the score for the first convergence hypothesis, wherein the convergence location estimate for the first convergence hypothesis is determined based, at least in part, on projected tracks of the plurality of entities being tracked for the first convergence hypothesis; and outputting the first convergence hypothesis when the updated score for the first convergence hypothesis exceeds a threshold value.