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arXiv · 1410.4262

Approximate Bayesian algorithms for multiple target tracking with binary sensors

Adrien Ickowicz
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Abstract

In this paper, we propose an approximate Bayesian computation approach to perform a multiple target tracking within a binary sensor network. The nature of the binary sensors (getting closer - moving away information) do not allow the use of the classical tools (e.g. Kalman Filter, Particle Filer), because the exact likelihood is intractable. To overcome this, we use the particular feature of the likelihood-free algorithms to produce an efficient multiple target tracking methodology.

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Adrien Ickowicz. 2014-10-16. Approximate Bayesian algorithms for multiple target tracking with binary sensors. https://arxiv.org/abs/1410.4262

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