Davey S.J., Gaetjens H.X. Track-Before-Detect Using Expectation Maximisation: The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications

Springer Nature Singapore Pte Ltd., 2018. — 357 p. — (Signals and Communication Technology) — ISBN: 9811075921.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. The book is supplemented with software that both furthers readers' understanding and acts as a toolkit for those who wish to apply the methods to their own problems.Idealised Track-Before-Detect
Point Measurement Probabilistic Multi-hypothesis Tracking
Histogram Probabilistic Multi-hypothesis Tracking
Implementation Considerations
Poisson Scattering Field
Known Non-Gaussian Target Appearance
Adaptive Appearance Models
H-PMHT with Attribute Data
Maximum Likelihood H-PMHT
Radar and Sonar Track-Before-Detect
Tracking in Full Motion Video
Related Methods and Future DirectionsAppendix A. Comparison Algorithms
Appendix B. H-PMHT Toolbox