METHOD AND APPARATUS FOR UNSUPERVISED LEARNING OF DISCRIMINATIVE EDGE MEASURES FOR VEHICLE MATCHING BETWEEN NON-OVERLAPPING CAMERAS

摘要

A method and apparatus for unsupervised learning of measures for matching objects between images from at least two non-overlapping cameras is disclosed. The method includes collecting at least one two pairs of feature maps, where the at least one two pairs of feature maps are derived from features of objects captured in the images. The method further includes computing, as a function of at least one two pairs of feature maps, at least one first and second match measures, wherein the first match measure is of a same class and the second match measure is of a different class.