We propose a method for automatic target detection and tracking in forward-looking infrared
(FLIR) image sequences. We use morphological connected operators to extract and track …

Investigators interested in model order estimation have tended to divide themselves into
widely separated camps; this survey of the contributions of Schwarz, Wallace, Rissanen, and …

The emergent role of information theory in image formation is surveyed. Unlike the subject of
information-theoretic communication theory, information-theoretic imaging is far from a …

We present two stochastic filters for an FM-band passive air surveillance radar. The first
system uses an extended Kalman filter and delay-Doppler measurements to track targets …

MCMC sampling is a methodology that is becoming increasingly important in statistical
signal processing. It has been of particular importance to the Bayesian-based approaches to …

A Bayesian approach to identify faces from their IR facial images amounts to testing of
discrete hypotheses in presence of nuisance variables such as pose, facial expression, and …

This article investigates the asymptotic performance of Bayesian target recognition
algorithms using deformable-template representations. Rigid computer-aided design (CAD) …

We formulate a Bayesian approach to the joint tracking and recognition of airborne targets
via reflected commercial television and FM radio signals measured by an array of sensors …

We examine metrics for measuring clutter effectiveness on model-based automatic target
recognition (ATR) systems with forwardlooking infrared (FLIR) sensors. The measure for …

We review a result in modeling lower order (univariate and bivariate) probability densities of
pixel values resulting from bandpass filtering of images. Assuming an object-based model …