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020 _a9789811075933
024 7 _a10.1007/978-981-10-7593-3
_2doi
050 4 _aQA312 2018 EB
040 _aES-MaUEC
_bspa
100 1 _aDavey, Samuel J
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aTrack-Before-Detect Using Expectation Maximisation
_bThe Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications
_cby Samuel J. Davey, Han X. Gaetjens.
264 1 _aSingapore
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XXI, 352 páginas 127 ilustraciones, 117 ilustraciones a color)
347 _atext file
_bPDF
490 0 _aSignals and Communication Technology
_x1860-4862
505 0 _aForeword -- 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.
520 3 _aThis 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.
650 7 _aMedida, Teoría de la
_9143362
_2embne
700 1 _aGaetjens, Han X
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iEdición impresa:
_z9789811075926
776 0 8 _iEdición impresa:
_z9789811075940
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-7593-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b02/2019
_dz
_ef
_feng
_ggw
_h0
999 _c102994
_d102994
_x2