Robust automatic target recognition in second generation FLIR images

Abstract

In this paper we present a system for the detection and recognition of targets in second generation forward looking infrared (FLIR) images. The system uses new algorithms for target detection and segmentation of the targets. Recognition is based on a methodology far target recognition by parts. A diffusion based approach for determining the parts of a target is also presented here. Experimental results on a large database of FLIR images validate the robustness of the system, and its applicability to FLIR imagery obtained from real scenes.