In this paper, we propose a new view to target tracking from a heavy-tailed perspective, establishing a simple but novel Multivariate Laplace Filter (MLF) ...
In [4], they address an orig- inal game-theoretic multiple target tracking algorithm, where each individual tracker is devoted to optimizing its own objective.
In this paper, we propose a new view to target tracking from a heavy-tailed perspective, establishing a simple but novel Multivariate Laplace Filter (MLF) ...
(2008). "Multivariate Laplace Filter: A Heavy-Tailed Model for Target Tracking". Proceedings of the 19th International Conference on Pattern Recognition: FL.
A Robust Interacting Multi-Model Multi-Bernoulli Mixture Filter for ...
pubmed.ncbi.nlm.nih.gov › ...
Apr 24, 2024 · In this article, we investigate the challenging problem of tracking a time-varying number of maneuvering targets in the context of glint noise ...
May 31, 2023 · A new Gaussian multivariate Laplace mixture (GMLM) distribution is presented to address the non-stationary heavy-tailed noises.
We consider the filtering problem in linear state space models with heavy tailed process and measurement noise. Our work is based on Student's t ...
Jul 6, 2023 · Abstract—This paper introduces the concept of the Gaussian integral filter (GIF), the limit of the Gaussian sum filter (GSF).
Based on the fact that the multivariate Laplace (ML) distribution has heavier tails than Gaussian distribution but is only determined by its mean and covariance ...
Sep 27, 2024 · This study introduces a novel approach for state estimation in linear systems impacted by measurement outliers.