Track-Before-Detect Using Expectation Maximisation
Springer Verlag, Singapore
978-981-13-3971-4 (ISBN)
Samuel Davey studied engineering and mathematics at the University of Adelaide, culminating with a Ph.D. in signal processing in 2003. He has worked for the Defence Science and Technology Group, Australia, since 1995 in the areas of target tracking, tracker performance assessment, and multi-sensor fusion; he is currently Group Leader, Geophysical Phenomenology and Performance Assessment. He is also a Visiting Research Fellow at the University of Adelaide, a senior member of the IEEE, and an associate editor of IEEE Signal Processing Letters. He is a co-author of the book Bayesian Methods in the Search for MH370. He received the 2011 JP LeCadre award for the best paper at the International Conference on Information Fusion and the 2012 DST Science and Engineering Excellence award for work on H-PMHT that led to this book. Han Gaetjens received an Honours degree in Mathematics from the University of South Australia in 2007 and the Ph.D. from the University of Adelaide in 2015. She has worked for the Defence Science and Technology Group, Australia, since 2007.
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.
Erscheinungsdatum | 06.05.2019 |
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Reihe/Serie | Signals and Communication Technology |
Zusatzinfo | 117 Illustrations, color; 10 Illustrations, black and white; XXI, 352 p. 127 illus., 117 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Kalman Filter • noisy temporal information • nonlinear nonGaussian TkBD problems • parametric mixture-fitting approach • PMHT • stochastic time delay • timing uncertainty • Viterbi Algorithm |
ISBN-10 | 981-13-3971-6 / 9811339716 |
ISBN-13 | 978-981-13-3971-4 / 9789811339714 |
Zustand | Neuware |
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