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Memorias de investigación
Ponencias en congresos:
Multiple object tracking using an automatic veriable-dimension particle filter
Año:2010
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
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.
Internacional
Si
Nombre congreso
IEEE International Conference on Image Processing, ICIP 2010
Tipo de participación
960
Lugar del congreso
Hong-Kong, China
Revisores
Si
ISBN o ISSN
1522-4880
DOI
10.1109/ICIP.2010.5651632
Fecha inicio congreso
26/09/2010
Fecha fin congreso
29/09/2010
Desde la página
49
Hasta la página
52
Título de las actas
Proc. 2010 IEEE International Conference on Image Processing ICIP 2010
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jon Arróspide Laborda (UPM)
  • Autor: Luis Salgado Alvarez de Sotomayor (UPM)
  • Autor: Marcos Nieto Doncel (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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