Congreso internacional:

Año: 2009, Multitarget tracking using the Joint Multitrack Probability Density

Medio de publicación:

Congreso: 12th International Conference on Information Fusion, 2009. FUSION '09. Seattle, Washington, USA. 6-9 de Julio de 2009

Autores: A. F. García-Fernández; Jesús Grajal de la Fuente

Resumen:

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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