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...
Other Authors: | Moraffah, Bahman (Author) |
---|---|
Format: | Doctoral Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/2286/R.I.54996 |
Similar Items
-
On Nonparametric Bayesian Inference for Tukey Depth
by: Han, Xuejun
Published: (2017) -
Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis
by: Mark J. Jensen, et al.
Published: (2018-09-01) -
Prior Sensitivity Analysis in a Semi-Parametric Integer-Valued Time Series Model
by: Helton Graziadei, et al.
Published: (2020-01-01) -
Nonparametric Bayesian analysis of some clustering problems
by: Ray, Shubhankar
Published: (2006) -
A simple proof of Pitman–Yor’s Chinese restaurant process from its stick-breaking representation
by: Lawless Caroline, et al.
Published: (2019-03-01)