TARGET RECOGNITION SYSTEM AND METHOD WITH UNKNOWN TARGET REJECTION

The present invention describes a new QR enclosing voting scheme that allows the extraction of base signatures of objects using a shortest path QR algorithm, providing a probability distribution measuring the occurrence of each random projection base of the object under consideration. The method is very effective in extracting the overall base signatures of a given class of objects. The novelty of this approach is that it is not tailored to the nature of the objects, thus generally applicable, and unmanned. Random projections (RP) have been a powerful tool to reduce the dimensionality of an object while preserving class separation. The inventive voting scheme, after RP, further reduces the dimensionality to no more than the number of the training objects.