International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press
OPEN ACCESS
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IJCTE 2013 Vol.5(1): 93-98 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.654

User Tracking Methods for Augmented Reality

Erkan Bostanci, Nadia Kanwal, Shoaib Ehsan, and Adrian F. Clark

Abstract—Augmented reality has been an active area of research for the last two decades or so. This paper presents a comprehensive review of the recent literature on tracking methods used in Augmented Reality applications, both for indoor and outdoor environments. After critical discussion of the methods used for tracking, the paper identifies limitations ofthe state-of-the-art techniques and suggests potential future directions to overcome the bottlenecks.

Index Terms—Augmented reality, tracking.

The authors are with the School of Computer Science and Engineering, University of Essex, UK (e-mail: gebost@essex.ac.uk, nkanwa@essex.ac.uk, sehsan@essex.ac.uk, alien@essex.ac.uk).

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Cite: Erkan Bostanci, Nadia Kanwal, Shoaib Ehsan, and Adrian F. Clark, "User Tracking Methods for Augmented Reality," International Journal of Computer Theory and Engineering vol. 5, no. 1, pp. 93-98, 2013.

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