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A labeled random finite set spawning model

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Authors
Bryant, D.
Vo, Ba Tuong
Vo, Ba-Ngu
Jones, B.
Date
2017
Type
Conference Paper

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Bryant, D. and Vo, B.T. and Vo, B. and Jones, B. 2017. A labeled random finite set spawning model, pp. 215-220.
Source Title
2017 International Conference on Control, Automation and Information Sciences, ICCAIS 2017
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School of Electrical Engineering, Computing and Mathematical Science (EECMS)
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Abstract

© 2017 IEEE. Previous labeled random finite set filter developments use a target motion model that only accounts for survival and birth. While such a model provides the means for a multi-target tracking filter such as the Generalized Labeled Multi-Bernoulli filter to capture target births and deaths in a wide variety of applications, it lacks the capability to capture the lineages of spawned target tracks. In this paper, we propose a labeled random finite set spawning model and derive the resulting multi-target prediction and filtering densities. This formulation enables the joint estimation of spawned object's state and and information regarding its lineage.