Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter

@article{Vo2014LabeledRF,
  title={Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter},
  author={Ba-Ngu Vo and Ba-Tuong Vo and Dinh Q. Phung},
  journal={IEEE Transactions on Signal Processing},
  year={2014},
  volume={62},
  pages={6554-6567}
}
An analytic solution to the multi-target Bayes recursion known as the δ-Generalized Labeled Multi-Bernoulli ( δ-GLMB) filter has been recently proposed by Vo and Vo in [“Labeled Random Finite Sets and Multi-Object Conjugate Priors,” IEEE Trans. Signal Process., vol. 61, no. 13, pp. 3460-3475, 2014]. As a sequel to that paper, the present paper details efficient implementations of the δ-GLMB multi-target tracking filter. Each iteration of this filter involves an update operation and a prediction… CONTINUE READING
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