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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 Probabilistic Systems, Information, and Inference Group Seminars series.

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