Patent ID: 9613296
Date: 2017-04-04
CPC Classifications: G06K

Claim:
1. A computer-implemented method comprising: obtaining a set of exemplar images, wherein each of the set of exemplar images comprises a target image object and does not comprise a non-target image object; obtaining a set of false-alarm images, wherein each of the set of false-alarm images does not comprise the target image object; obtaining a set of recall images, wherein each of the set of recall images comprises the target image object and a non-target image object; determining a plurality of subsets from the set of exemplar images, wherein the plurality of subsets of exemplar images comprises every possible unique sub-combination of exemplar images from the set of exemplar images that includes at least one exemplar image; for each subset of exemplar images from the determined plurality of subsets: obtaining at least one desired performance characteristic related to a classifier performance; ranking the performance statistics for each subset of exemplar images from the determined plurality of subsets based on the at least one desired performance characteristic; identify an optimal subset of exemplar images from the determined plurality of subsets based on the ranking of the performance statistics; obtaining an unclassified image that has not been previously classified with reference to the target image object; classifying the obtained unclassified image using a classifier generated using the identified optimal subset of the exemplar images; and outputting a classification of the obtained unclassified image.