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Track-Before-Detect Using Expectation Maximisation

The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2018
ISBN13: 9789811339714
Rubricering
Springer Nature Singapore e druk, 2018 9789811339714
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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. 

Specificaties

ISBN13:9789811339714
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

<p>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.</p>

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        Track-Before-Detect Using Expectation Maximisation