Particle filter for extracting target label information when targets move in close proximity

García-Fernández, Ángel F. and Morelande, Mark R. and Grajal, Jesús (2011). Particle filter for extracting target label information when targets move in close proximity. In: "14th International Conference on Information Fusion", 5-8 July 2011.

Description

Title: Particle filter for extracting target label information when targets move in close proximity
Author/s:
  • García-Fernández, Ángel F.
  • Morelande, Mark R.
  • Grajal, Jesús
Item Type: Presentation at Congress or Conference (Article)
Event Title: 14th International Conference on Information Fusion
Event Dates: 5-8 July 2011
Title of Book: 14th International Conference on Information Fusion
Date: July 2011
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: None

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Abstract

This paper addresses the problem of approximating the posterior probability density function of two targets after a crossing from the Bayesian perspective such that the information about target labels is not lost. To this end, we develop a particle filter that is able to maintain the inherent multimodality of the posterior after the targets have moved in close proximity. Having this approximation available, we are able to extract information about target labels even when the measurements do not provide information about target's identities. In addition, due to the structure of our particle filter, we are able to use an estimator that provides lower optimal subpattern assignment (OSPA) errors than usual estimators.

More information

Item ID: 9631
DC Identifier: http://oa.upm.es/9631/
OAI Identifier: oai:oa.upm.es:9631
Deposited by: Ángel Froilán García Fernández
Deposited on: 11 Nov 2011 16:20
Last Modified: 20 Apr 2016 17:58
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