Track-Before-Detect Using Expectation Maximisation The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /

• Main Authors: Davey, Samuel J. (Author, http://id.loc.gov/vocabulary/relators/aut), Gaetjens, Han X. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Signals and Communication Technology,
• Subjects: Signal processing.; Image processing.; Speech processing systems.; Optical data processing.; Computer mathematics.; Computational intelligence.; Signal, Image and Speech Processing.; Image Processing and Computer Vision.; Computational Science and Engineering.; Computational Intelligence.

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...

Table of Contents:

• 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.