Observatorio de I+D+i UPM

Descripción
This paper addresses the problem of detecting and tracking multiple targets in a Bayesian framework. First, we introduce the definition of Joint MultitracK Probability Density (JMKPD) which is the probability of having a certain number of tracks, each one clearly identified with an ID number, and a kinematic state. We develop the a priori model needed to solve the Bayesian problem and a particle filter implementation with two layers, one that deals with the false alarms and track initiation, and another that deals with track maintenance and track end.
Internacional	Si
Nombre congreso	12th International Conference on Information Fusion 2009
Tipo de participación	960
Lugar del congreso	Seattle, WA, USA
Revisores	Si
ISBN o ISSN	978-0-9824-4380-4
DOI
Fecha inicio congreso	06/07/2009
Fecha fin congreso	09/07/2009
Desde la página	595
Hasta la página	602
Título de las actas	Proceedings of the 12th International Conference on Information Fusion

Esta actividad pertenece a memorias de investigación

• Autor: Jesus Grajal De la Fuente (UPM)
• Autor: Ángel Froilán García Fernández (UPM)

• Creador: Grupo de Investigación: Microondas y Radar
• Departamento: Señales, Sistemas y Radiocomunicaciones