Track-Before-Detect Using Expectation Maximisation
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Track-Before-Detect Using Expectation Maximisation
The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications
Gaetjens, Han X.; Davey, Samuel J.
Springer Verlag, Singapore
03/2018
352
Dura
Inglês
9789811075926
15 a 20 dias
887
Descrição não disponível.
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.
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PMHT;timing uncertainty;noisy temporal information;stochastic time delay;Viterbi algorithm;nonlinear nonGaussian TkBD problems;parametric mixture-fitting approach;Kalman filter
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
