Patent ID: 7415148

Claim:
A system for identifying anomalous targets comprising: an imaging subsystem to generate a track file for a plurality of targets, wherein the track file comprises both static and non-static features of the targets imaged over time; an image processing subsystem to extract predetermined features from the track files to generate two or more feature sets for the imaged targets, each feature set corresponding to one of the extracted features; and a discrimination subsystem to generate two or more probabilistic belief functions corresponding, respectively to the two or more feature sets, and to generate an output by separately weighting the two or more belief functions associated with both the static and the non-static features, the output being a probability indicating whether or not at least some of the targets are anomalous, wherein the belief functions are discrete probability functions comprising probability distributions describing when the targets are likely anomalous, and wherein weights associated with the belief functions are updated based on actual results indicating whether or not the targets are actually anomalous.