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- W2395953887 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." @default.
- W2395953887 created "2016-06-24" @default.
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- W2395953887 date "2014-10-16" @default.
- W2395953887 modified "2023-10-01" @default.
- W2395953887 title "Approximate Bayesian algorithms for multiple target tracking with binary sensors." @default.
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