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Particle tracking with iterated Kalman filters and smoothers: the PMHT algorithm
We introduce the Probabilistic Multi-Hypothesis Tracking (PMHT) algorithm for particle tracking in high-energy physics detectors. This algorithm has been developed recently for tracking multiple targets in clutter, and it is based on maximum likelihood estimation with help of the EM algorithm. The r...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
1999
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/S0010-4655(99)00258-1 http://cds.cern.ch/record/426293 |