Iterative nonlinear joint transform correlation for the detection of objects in cluttered scenes

Abstract

An iterative correlation technique with digital image processing in the feedback loop for the detection of small objects in cluttered scenes is proposed. A scanning aperture is combined with the method in order to improve the immunity against noise and clutter. Multiple reference objects or different views of one object are processed in parallel. We demonstrate the method by detecting a noisy and distorted face in a crowd with a nonlinear joint transform correlator. Iterative Korrelation zur Mustererkennung von Objekten in komplexen Szenen