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Wei, Li and Portilla Berrueco, Jorge and Moreno González, Félix Antonio and Liang, Guixuan and Riesgo Alcaide, Teresa (2011). Improving target localization accuracy of wireless visual sensor networks. In: "IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society", 07/11/2011 - 10/11/2011, Melbourne, Australia. ISBN 978-1-61284-969-0. pp. 1-8.
Title: | Improving target localization accuracy of wireless visual sensor networks |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society |
Event Dates: | 07/11/2011 - 10/11/2011 |
Event Location: | Melbourne, Australia |
Title of Book: | Proceedings of IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society |
Date: | 2011 |
ISBN: | 978-1-61284-969-0 |
Subjects: | |
Faculty: | E.T.S.I. Industriales (UPM) |
Department: | Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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This paper discusses the target localization problem of wireless visual sensor networks. Specifically, each node with a low-resolution camera extracts multiple feature points to represent the target at the sensor node level. A statistical method of merging the position information of different sensor nodes to select the most correlated feature point pair at the base station is presented. This method releases the influence of the accuracy of target extraction on the accuracy of target localization in universal coordinate system. Simulations show that, compared with other relative approach, our proposed method can generate more desirable target localization's accuracy, and it has a better trade-off between camera node usage and localization accuracy.
Item ID: | 13240 |
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DC Identifier: | https://oa.upm.es/13240/ |
OAI Identifier: | oai:oa.upm.es:13240 |
Official URL: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
Deposited by: | Memoria Investigacion |
Deposited on: | 29 Nov 2012 08:56 |
Last Modified: | 23 Feb 2017 17:38 |