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Memorias de investigación
Communications at congresses:
Multiple object tracking using an automatic veriable-dimension particle filter
Year:2010
Research Areas
  • Processing and signal analysis
Information
Abstract
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.
International
Si
Congress
IEEE International Conference on Image Processing, ICIP 2010
960
Place
Hong-Kong, China
Reviewers
Si
ISBN/ISSN
1522-4880
10.1109/ICIP.2010.5651632
Start Date
26/09/2010
End Date
29/09/2010
From page
49
To page
52
Proc. 2010 IEEE International Conference on Image Processing ICIP 2010
Participants
  • Autor: Jon Arróspide Laborda (UPM)
  • Autor: Luis Salgado Alvarez de Sotomayor (UPM)
  • Autor: Marcos Nieto Doncel (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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