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Descripción
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| 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. | |
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Internacional
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Si |
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Nombre congreso
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12th International Conference on Information Fusion 2009 |
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Tipo de participación
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960 |
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Lugar del congreso
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Seattle, WA, USA |
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Revisores
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Si |
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ISBN o ISSN
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978-0-9824-4380-4 |
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DOI
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Fecha inicio congreso
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06/07/2009 |
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Fecha fin congreso
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09/07/2009 |
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Desde la página
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595 |
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Hasta la página
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602 |
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Título de las actas
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Proceedings of the 12th International Conference on Information Fusion |