An approximate likelihood method for estimating the static parameters in multi-target tracking models

Abstract

Target–tracking problems involve the on-line estimation of the state vector of an object under surveillance, called a target, that is changing over time. The state of the target at time n, denoted Xn, is a vector in E1 ⊂ R1 and contains its kinematic characteristics, e.g. the target’s position and velocity. Typically only noise corrupted measurements of the… (More)

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Cite this paper

@inproceedings{Singh2009AnAL, title={An approximate likelihood method for estimating the static parameters in multi-target tracking models}, author={Sumeetpal S. Singh and Nick Whiteley and Simon Godsill}, year={2009} }