Track-before-detect using expectation maximisation : the histogram probabilistic multi-hypothesis tracker: theory and applications 1st ed.

Author

• Davey, Samuel J.

Additional Author(s)

• Gaetjens, Han X.

Publisher

Singapore : Springer Nature Singapore Pte Ltd., 2018

Language

English

ISBN

9789811075933

Series

Signals and communication technology

Subject(s)

• COMPUTATIONAL INTELLIGENCE
• ENGINEERING
• GAUSSIAN MEASURES

Notes

. .

Abstract

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers’ understanding and acts as a toolkit for those who wish to apply the methods to their own problems.

Physical Dimension

Number of Page(s)

1 online resource (xxi, 352 p.)

Dimension

-

Other Desc.

ill. (in color.)

Summary / Review / Table of Content

Foreword --
Introduction --
Idealised Track-Before-Detect --
Point Measurement Probabilistic Multi-Hypothesis Tracking --
Histogram ProbabilisticMulti-Hypothesis Tracking --
Implementation Considerations --
Poisson Scattering Field --
Non-linear Non-Gaussian Targets --
Adaptive Appearance Models --
H-PMHT with Attribute Data --
Radar and Sonar Track-Before-Detect --
Tracking in Full Motion Video --
Related Methods --
Summary and Prognostications.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01893/20	519.23 Dav T	Online !	Available