Multiple object tracking using an automatic veriable-dimension particle filter

Arróspide Laborda, Jon; Salgado Álvarez de Sotomayor, Luis y Nieto Doncel, Marcos (2010). Multiple object tracking using an automatic veriable-dimension particle filter. En: "IEEE 17th International Conference on Image Processing ICIP 2010", 26/09/2010 - 29/09/2010, Hong Kong, China. ISBN 978-1-4244-7992-4.

Descripción

Título: Multiple object tracking using an automatic veriable-dimension particle filter
Autor/es:
  • Arróspide Laborda, Jon
  • Salgado Álvarez de Sotomayor, Luis
  • Nieto Doncel, Marcos
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: IEEE 17th International Conference on Image Processing ICIP 2010
Fechas del Evento: 26/09/2010 - 29/09/2010
Lugar del Evento: Hong Kong, China
Título del Libro: Proceedings of the IEEE 17th International Conference on Image Processing ICIP 2010
Fecha: Diciembre 2010
ISBN: 978-1-4244-7992-4
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Object tracking through particle filtering has been widely addressed in recent years. However, most works assume a constant number of objects or utilize an external detector that monitors the entry or exit of objects in the scene. In this work, a novel tracking method based on particle filtering that is able to automatically track a variable number of objects is presented. As opposed to classical prior data assignment approaches, adaptation of tracks to the measurements is managed globally. Additionally, the designed particle filter is able to generate hypotheses on the presence of new objects in the scene, and to confirm or dismiss them by gradually adapting to the global observation. The method is especially suited for environments where traditional object detectors render noisy measurements and frequent artifacts, such as that given by a camera mounted on a vehicle, where it is proven to yield excellent results.

Más información

ID de Registro: 9226
Identificador DC: http://oa.upm.es/9226/
Identificador OAI: oai:oa.upm.es:9226
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5651632&tag=1
Depositado por: Memoria Investigacion
Depositado el: 17 Oct 2011 11:20
Ultima Modificación: 20 Abr 2016 17:43
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