Fast localization in indoor environments

Authors:
Rimon Elias;Amal Elnahas
Affiliations:
Faculty of Media Engineering, and Technology, The German University in Cairo, New Cairo City, Egypt;Faculty of Media Engineering, and Technology, The German University in Cairo, New Cairo City, Egypt
Venue:
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Year:
2009

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Abstract

In this paper, we propose an algorithm for fast indoor localization. The algorithm does not require any sensors to be installed; instead, localization is determined using image matching. Our system studies (or learns) the indoor environment through detecting image junctions using the so-called JUDOCA detector. Any 2-edge junction forms a triangle that can be used to store information and recognize the environment afterwards. Correlation is applied to points denoted with respect to one side of the triangle formed by the junction. Experiments show that this approach reaches similar accuracy of the affine-based correlation approach in less processing time.