E-Book, Englisch, 352 Seiten, eBook
Davey / Gaetjens Track-Before-Detect Using Expectation Maximisation
1. Auflage 2018
ISBN: 978-981-10-7593-3
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications
E-Book, Englisch, 352 Seiten, eBook
Reihe: Signals and Communication Technology
ISBN: 978-981-10-7593-3
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
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.




