Multiple feature points representation in target localization of wireless visual sensor networks

Li, Wei and Portilla Berrueco, Jorge and Moreno González, Félix Antonio and Liang, Guixuan and Riesgo Alcaide, Teresa (2015). Multiple feature points representation in target localization of wireless visual sensor networks. "Journal of Network and Computer Applications", v. 57 ; pp. 119-128. ISSN 1084-8045. https://doi.org/10.1016/j.jnca.2015.07.013.

Description

Title: Multiple feature points representation in target localization of wireless visual sensor networks
Author/s:
  • Li, Wei
  • Portilla Berrueco, Jorge
  • Moreno González, Félix Antonio
  • Liang, Guixuan
  • Riesgo Alcaide, Teresa
Item Type: Article
Título de Revista/Publicación: Journal of Network and Computer Applications
Date: November 2015
ISSN: 1084-8045
Volume: 57
Subjects:
Freetext Keywords: Point correspondence; Target localization; Wireless visual sensor networks
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper discusses the target localization problem in wireless visual sensor networks. Additive noises and measurement errors will affect the accuracy of target localization when the visual nodes are equipped with low-resolution cameras. In the goal of improving the accuracy of target localization without prior knowledge of the target, each node extracts multiple feature points from images to represent the target at the sensor node level. A statistical method is presented to match the most correlated feature point pair for merging the position information of different sensor nodes at the base station. Besides, in the case that more than one target exists in the field of interest, a scheme for locating multiple targets is provided. Simulation results show that, our proposed method has desirable performance in improving the accuracy of locating single target or multiple targets. Results also show that the proposed method has a better trade-off between camera node usage and localization accuracy.

More information

Item ID: 40776
DC Identifier: http://oa.upm.es/40776/
OAI Identifier: oai:oa.upm.es:40776
DOI: 10.1016/j.jnca.2015.07.013
Official URL: http://www.sciencedirect.com/science/article/pii/S1084804515001769
Deposited by: Memoria Investigacion
Deposited on: 13 Jun 2016 10:55
Last Modified: 01 Dec 2017 23:30
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