An advanced Bayesian model for the visual tracking of multiple interacting objects

Blanco Adán, Carlos Roberto del and Jaureguizar Núñez, Fernando and García Santos, Narciso (2011). An advanced Bayesian model for the visual tracking of multiple interacting objects. "EURASIP Journal on Advances in Signal Processing", v. 2011 (n. 130); pp. 1-13. ISSN 1687-6172. https://doi.org/10.1186/1687-6180-2011-130.

Description

Title: An advanced Bayesian model for the visual tracking of multiple interacting objects
Author/s:
  • Blanco Adán, Carlos Roberto del
  • Jaureguizar Núñez, Fernando
  • García Santos, Narciso
Item Type: Article
Título de Revista/Publicación: EURASIP Journal on Advances in Signal Processing
Date: 12 December 2011
ISSN: 1687-6172
Volume: 2011
Subjects:
Freetext Keywords: visual tracking, multiple objects, interacting model, particle filter, Rao-Blackwellization, data association
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: None

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Abstract

Visual tracking of multiple objects is a key component of many visual-based systems. While there are reliable algorithms for tracking a single object in constrained scenarios, the object tracking is still a challenge in uncontrolled situations involving multiple interacting objects that have a complex dynamics. In this article, a novel Bayesian model for tracking multiple interacting objects in unrestricted situations is proposed. This is accomplished by means of an advanced object dynamic model that predicts possible interactive behaviors, which in turn depend on the inference of potential events of object occlusion. The proposed tracking model can also handle false and missing detections that are typical from visual object detectors operating in uncontrolled scenarios. On the other hand, a Rao-Blackwellization technique has been used to improve the accuracy of the estimated object trajectories, which is a fundamental aspect in the tracking of multiple objects due to its high dimensionality. Excellent results have been obtained using a publicly available database, proving the efficiency of the proposed approach.

More information

Item ID: 10364
DC Identifier: http://oa.upm.es/10364/
OAI Identifier: oai:oa.upm.es:10364
DOI: 10.1186/1687-6180-2011-130
Official URL: http://asp.eurasipjournals.com/content/pdf/1687-6180-2011-130.pdf
Deposited by: Doctor Carlos Roberto del Blanco Adán
Deposited on: 17 Feb 2012 09:06
Last Modified: 20 Apr 2016 18:34
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