Sensor node localization using SIFT algorithm

Authors:
Daniela Fuiorea;Vasile Gui;Dan Pescaru;Petronela Paraschiv;Istin Codruta;Daniel Curiac;Constantin Volosencu
Affiliations:
Faculty of Electonic and Communication, "Politehnica" University of Timisoara, Timisoara, Romania;Faculty of Electonic and Communication, "Politehnica" University of Timisoara, Timisoara, Romania;Faculty of Automation and Computers, "Politehnica" University of Timisoara, Timisoara, Romania;Faculty of Electonic and Communication, "Politehnica" University of Timisoara, Timisoara, Romania;Faculty of Automation and Computers, "Politehnica" University of Timisoara, Timisoara, Romania;Faculty of Automation and Computers, "Politehnica" University of Timisoara, Timisoara, Romania;Faculty of Automation and Computers, "Politehnica" University of Timisoara, Timisoara, Romania
Venue:
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Year:
2008

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Abstract

Sensor localization is required by most Wireless Sensor Networks applications. Considering application for video surveillance, localization includes not only spatial coordination but also cameras direction and videofield overlap estimation. This paper presents a novel technique for localization in a Video-based Wireless Sensor Network using image registration that involves SIFT algorithm for automatic features selection. Experimental results show the estimation accuracy and time efficiency comparing with manual solution.