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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |