• Corpus ID: 229297932

Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter

@article{Moraffah2020UseOB,
  title={Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter},
  author={Bahman Moraffah and Christ D. Richmond and Raha Moraffah and Antonia Papandreou-Suppappola},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.09785}
}
Robust tracking of a target in a clutter environment is an important and challenging task. In recent years, the nearest neighbor methods and probabilistic data association filters were proposed. However, the performance of these methods diminishes as the number of measurements increases. In this paper, we propose a robust generative approach to effectively model multiple sensor measurements for tracking a moving target in an environment with high clutter. We assume a time-dependent number of… 
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