Track-Before-Detect Using Expectation Maximisation

The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications

Samuel J. Davey, Han X. Gaetjens (Autoren)

Buch | Hardcover

352 Seiten

2018 | 1st ed. 2018
Springer Verlag, Singapore
978-981-10-7592-6 (ISBN)

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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.

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	06.04.2018
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	981-10-7592-1 / 9811075921
ISBN-13	978-981-10-7592-6 / 9789811075926
Zustand	Neuware