<title>New advances in correlation filters</title>

Abstract

We consider new correlation filters for all levels of scene analysis such as clutter reduction and object detection, recognition, and identification. A hierarchical inference set of such filters allows scene analysis on a unified multifunctional correlator architecture. It has applications in robotics, computer vision, optical character recognition, reconnaissance, and target recognition. Present digital processors can now achieve correlations in real time and hence such filters are of importance.