Improved particle filters for multi-target tracking

Vasileios Maroulas; Panos Stinis

doi:10.1016/j.jcp.2011.09.023

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Improved particle filters for multi-target tracking

Vasileios Maroulas Panos Stinis

Year: 2011 Journal: Journal of Computational Physics Vol: 231 (2)Pages: 602-611 Publisher: Elsevier BV

DOI: 10.1016/j.jcp.2011.09.023

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Keywords:

Particle filter Tracking (education) Auxiliary particle filter Markov chain Monte Carlo Homotopy Nonlinear system Filter (signal processing) Particle (ecology) Markov chain Monte Carlo method Control theory (sociology) Nonlinear filter Computer science Mathematics Stochastic differential equation Mathematical optimization Algorithm Applied mathematics Filter design Ensemble Kalman filter Kalman filter Physics Artificial intelligence Extended Kalman filter Machine learning Statistics Computer vision

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Gaussian Processes and Bayesian Inference

Physical Sciences → Computer Science → Artificial Intelligence

Hydrology and Drought Analysis

Physical Sciences → Environmental Science → Global and Planetary Change

Improved particle filters for multi-target tracking

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