Proposes a framework for simultaneous detection, tracking, and recognition of objects via
data fused from multiple sensors. Complex dynamic scenes are represented via the …

To locate and recognize ground-based targets in forwardlooking IR (FLIR) images, 3-D
faceted models with associated pose parameters are formulated to accommodate the …

This paper describes techniques to perform efficient and accurate target recognition in
difficult domains. In order to accurately model small, irregularly shaped targets, the target …

We take a pattern theoretic approach to recognizing and tracking ground-based targets in
sequences of forward-looking infrared images acquired from an airborne platform. A rich set …

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

Recognition of aircraft and ground targets from high resolution radar (HRR) range-profiles is
a notoriously difficult problem, due in large part to the extreme variability in the data for small …

Like the hypothetical shadow watchers of Plato's cave, ATR researchers have spent years in
the study of one and two-dimensional signals, collected from three dimensional targets …

This paper presents a new technique for the detection and description of moving objects in
natural scenes which is based on a statistical multi-feature analysis of video sequences. In …

Abstract Model based recognition systems are designed to recognize the occurrence and
pose of a known object in an input image that could contain zero or more occurrences of the …

Identification of airborne or ground targets using high resolution radar (HRR) range-profiles
is a notoriously difficult problem, due in large part to the extreme variability of the range …