Singh, SS and Whiteley, NP and Godsill, SJ (2009) An approximate likelihood method for estimating static parameters in multi-target tracking models. Technical Report. Cambridge University Engineering Department, Cambridge, UK.Full text not available from this repository.
This paper considers a class of dynamic Spatial Point Processes (PP) that evolves over time in a Markovian fashion. This Markov in time PP is hidden and observed indirectly through another PP via thinning, displacement and noise. This statistical model is important for Multi object Tracking applications and we present an approximate likelihood based method for estimating the model parameters. The work is supported by an extensive numerical study.
|Item Type:||Monograph (Technical Report)|
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Unnamed user with email email@example.com|
|Date Deposited:||09 Dec 2016 18:12|
|Last Modified:||25 Mar 2017 23:01|