A dynamic bayesian network approach to tracking using learned switching dynamic models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1790, Issue , 2000, Pages 366-380

  Pavlović, Vladimir ^a   Rehg, James M ^a   Cham, Tat Jen ^a  

^a HEWLETT PACKARD COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; HYBRID SYSTEMS; INFERENCE ENGINES; LINEAR CONTROL SYSTEMS; NONLINEAR DYNAMICAL SYSTEMS;

APPROXIMATE INFERENCE; COMPLEX NONLINEAR DYNAMICS; DYNAMIC BAYESIAN NETWORKS; INFERENCE ALGORITHM; STATE AND PARAMETER ESTIMATIONS; SWITCHING DYNAMICS; SWITCHING LINEAR DYNAMIC SYSTEMS; TIME SERIES MODELS;

LEARNING SYSTEMS;

EID: 84974698749     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46430-1_31     Document Type: Conference Paper

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