Track-Before-Detect Using Expectation Maximisation The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /

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 basi...

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Bibliographic Details
Main Authors: Davey, Samuel J. (Author), Gaetjens, Han X. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Signals and Communication Technology,
Subjects:
Signal processing.
Computer vision.
Mathematics > Data processing.
Computational intelligence.
Signal, Speech and Image Processing.
Computer Vision.
Computational Science and Engineering.
Computational Intelligence.
Online Access:Full-text access
Table of Contents:
  • 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.

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