Video-based wireless sensor networks localization technique based on image registration and 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:
WSEAS Transactions on Computers
Year:
2008

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Abstract

Localization discovery techniques are required by most Wireless Sensor Networks applications. Moreover, in case of video surveillance, localization includes not only spatial coordination but also cameras direction and video-field overlap estimation. Accurate methods involve expensive and power consuming hardware. This paper presents an efficient node localization including video-field overlap estimation that employs image registration in order to align images quasi-simultaneously acquired from different video sensors. A SIFT algorithm is used to discover common features between pairs of images. Experimental and simulation evaluation shows the estimation accuracy comparing with a manual approach.