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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Davey, Samuel J. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Gaetjens, Han X. (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Signals and Communication Technology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.