CUED Publications database

An approximate likelihood method for estimating static parameters in multi-target tracking models

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.

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Abstract

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)
Subjects: UNSPECIFIED
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron job
Date Deposited: 04 Feb 2015 23:35
Last Modified: 05 Feb 2015 06:44
DOI: