We compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter
backgrounds. We show that independent correlation based detection processes can be implemented in the pixel
and modulation domains and used to construct useful online track consistency checks that indicate when the
detection process has been degraded due to nonstationary evolution of the target signature. Throughout the
paper, we use the well-known AMCOM closure sequences as exemplars.