This book examines real-time target tracking and identification algorithms with a focus on tracking an agile target. The authors look at several problems in which the tradeoff of accuracy and confidence must be made. These issues are explored within the context of specific tracking scenarios chosen to illustrate the tradeoffs in a simple and direct manner. The text covers the Gaussian wavelet estimator (GWE) which has a flexible architecture that is able to fuse uncommon sensor combinations with non-temporal structural constraints.
A Model for Tracking and Classification.- Target Location Using the Extended Kalman Filter.- Tracking an Agile Target.- Intercept and Target Prediction.- Classification and Target Tempo.- Assurance Regions on a Road Grid.- ActionWindows with Resource Limits.- Serendipitous Events in Tracking and Classification.- Deceiving a Classifier.
Dave Sworder is a Professor of ECE at UCSD John Boyd is the Chief Scientist, Information Systems for Cubic Defense Applications.
