Sensor node localization using SIFT algorithm

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.

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