Calibrating the Gaussian multi-target tracking model
From MaRDI portal
Publication:5963731
DOI10.1007/s11222-014-9456-2zbMath1331.62320OpenAlexW2025229050MaRDI QIDQ5963731
Sinan Yıldırım, Lan Jiang, Thomas A. Dean, Sumeetpal S. Singh
Publication date: 23 February 2016
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-014-9456-2
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Detection theory in information and communication theory (94A13)
Related Items (3)
Tracking multiple moving objects in images using Markov chain Monte Carlo ⋮ Effectiveness of Bayesian filters: an information fusion perspective ⋮ Identification of MultiObject Dynamical Systems: Consistency and Fisher Information
Cites Work
- Unnamed Item
- Particle approximations of the score and observed information matrix in state space models with application to parameter estimation
- Convergence of a stochastic approximation version of the EM algorithm
- Inference in hidden Markov models.
- Analysis of covariance as an alternative approach to the analysis of non-orthogonal lay-outs
- New finite-dimensional filters for parameter estimation of discrete-time linear Gaussian models
- Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter
- CPHD Filtering With Unknown Clutter Rate and Detection Profile
- The Gaussian Mixture Probability Hypothesis Density Filter
- Particle Markov Chain Monte Carlo Methods
- Markov Chain Monte Carlo Data Association for Multi-Target Tracking
- Letter to the Editor—An Algorithm for Ranking all the Assignments in Order of Increasing Cost
- SMC2: An Efficient Algorithm for Sequential Analysis of State Space Models
This page was built for publication: Calibrating the Gaussian multi-target tracking model