Multiple object tracking using an automatic veriable-dimension particle filter

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

Description

Title: Multiple object tracking using an automatic veriable-dimension particle filter
Author/s:
  • Arróspide Laborda, Jon
  • Salgado Álvarez de Sotomayor, Luis
  • Nieto Doncel, Marcos
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE 17th International Conference on Image Processing ICIP 2010
Event Dates: 26/09/2010 - 29/09/2010
Event Location: Hong Kong, China
Title of Book: Proceedings of the IEEE 17th International Conference on Image Processing ICIP 2010
Date: December 2010
ISBN: 978-1-4244-7992-4
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 9226
DC Identifier: http://oa.upm.es/9226/
OAI Identifier: oai:oa.upm.es:9226
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5651632&tag=1
Deposited by: Memoria Investigacion
Deposited on: 17 Oct 2011 11:20
Last Modified: 20 Apr 2016 17:43
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