Title :
An accurate indoor localization technique using image matching
Author :
Elias, Rimon ; Elnahas, A.
Author_Institution :
Comput. Sci. & Eng. Dept., German Univ. in Cairo, Cairo
Abstract :
Locating a mobile user is crucial in the realization of an Intelligent Environment, where data or services provided to a user are function of its context, especially its current location. In this paper, we propose an indoor localization mechanism that uses image matching. The merits of this approach lie in its ability to, not only locate the user, but also determine its orientation with a high accuracy and without the cost of additional hardware required. The matching algorithm deployed proved to substantially increase the success rate and accurately locate the user.
Keywords :
image matching; mobile computing; image matching; indoor localization mechanism; indoor localization technique; intelligent environment; mobile user;
Conference_Titel :
Intelligent Environments, 2007. IE 07. 3rd IET International Conference on
Conference_Location :
Ulm
Print_ISBN :
978-0-86341-853-2