Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking

Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking

The paper considers the problem of tracking an unknown and time-varying number of unlabeled moving objects using multiple unordered measurements with unknown association to the objects. The proposed tracking approach integrates Bayesian nonparametric modeling with Markov chain Monte Carlo methods to...

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Bibliographic Details
Main Authors: Bahman Moraffah, Antonia Papandreou-Suppappola
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
multiple object tracking
Monte Carlo sampling method
Bayesian nonparametric modeling
dependent Dirichlet process
dependent Pitman–Yor process
Online Access:https://www.mdpi.com/1424-8220/22/1/388

Internet

https://www.mdpi.com/1424-8220/22/1/388

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