Automatic Recognition And Tracking Of Targets From Visible Or Thermal Imagery, Using Optical Processing

Abstract
A real-time Vander Lugt correlator for automatic recognition and tracking of targets from visible or thermal data is described. A modification to the classical system architecture was the use of difference-of-Gaussian spatial filtering, which provided greater tolerance to scale and aspect variations in targets. Incoherent-to-coherent conversion was achieved using a Hughes LCLV, and the results of a rigorous evaluation study of the device are discussed.