1.

Record Nr.

UNINA9910254215003321

Autore

Sworder David D

Titolo

Locating, Classifying and Countering Agile Land Vehicles : With Applications to Command Architectures / / by David D. Sworder, John E. Boyd

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-19431-3

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (300 p.)

Disciplina

620

Soggetti

Signal processing

Image processing

Speech processing systems

Multimedia systems

Electrical engineering

System safety

Signal, Image and Speech Processing

Multimedia Information Systems

Communications Engineering, Networks

Security Science and Technology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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.  ·         Discusses applied estimation and prediction of terrestrial targets ·         Covers fusion of heterogeneous sensor types and tracking with non-temporal engagement constraints ·         Examines confidence that the target will be captured and motion analysis of land vehicles.