Bayesian estimation for multi-object systems
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If you have a question about this talk, please contact Prof. Ramji Venkataramanan.
Abstract: Estimating the behaviour of multiple objects within complex
systems is a multi-faceted problem that challenges both theoreticians
and practitioners. Even when the dynamics and the observation of these
objects in their environment is well understood, a suitably general
mathematical framework is required to translate the modelling choices
into a proper estimation algorithm. During this presentation, the
limitations of existing approaches from the target tracking literature
will be discussed and how these are overcome by improving the
representation of multi-object systems. Examples and results will be
drawn from several application areas including biology, space
situational awareness and maritime surveillance.
This talk is part of the Signal Processing and Communications Lab Seminars series.
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