Bayesian Nonparametric Modeling and Inference for Multiple Object Tracking

Bayesian Nonparametric Modeling and Inference for Multiple Object Tracking

abstract: The problem of multiple object tracking seeks to jointly estimate the time-varying cardinality and trajectory of each object. There are numerous challenges that are encountered in tracking multiple objects including a time-varying number of measurements, under varying constraints, and envi...

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Bibliographic Details
Other Authors: Moraffah, Bahman (Author)
Format: Doctoral Thesis
Language:English
Published: 2019
Subjects:
Electrical engineering
Statistics
Computer science
Bayesian Nonparametrics
Dependent Dirichlet Process
Dependent Pitman-Yor Process
Multiple Object Tracking
Scalable Bayesian Inference
Online Access:http://hdl.handle.net/2286/R.I.54996

Internet

http://hdl.handle.net/2286/R.I.54996

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