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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Detalles Bibliográficos
Autores principales: Moraffah, Bahman, Papandreou-Suppappola, Antonia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749759/
https://www.ncbi.nlm.nih.gov/pubmed/35009928
http://dx.doi.org/10.3390/s22010388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749759/
https://www.ncbi.nlm.nih.gov/pubmed/35009928
http://dx.doi.org/10.3390/s22010388

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