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Ambient Intelligence - Software and Applications pp 165–173Cite as

Computer Vision Based Indoor Navigation: A Visual Markers Evaluation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 376))

Abstract

The massive diffusion of smartphones and the exponential rise of location based services (LBS) have made the problem of localization and navigation inside buildings one of the most important technological challenges of the last years. Indoor positioning systems have a huge market in the retail sector and contextual advertising; moreover, they can be fundamental to increase the quality of life for the citizens. Various approaches have been proposed in scientific literature. Recently, thanks to the high performances of the smartphones’ cameras, marker-less and marked-based computer vision approaches have been investigated. In a previous paper, we proposed a technique for indoor navigation using both Bluetooth Low Energy (BLE) and a 2D visual markers system deployed into the floor. In this paper, we present a qualitative performance evaluation of three 2D visual markers suitable for real-time applications.

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Author information

Authors and Affiliations

  1. Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, Catania, Italy

    Gaetano C. La Delfa, V. Catania & S. Monteleone

  2. BISITE Research Group, Faculty of Science, University of Salamanca, Plaza de la Merced S/n, Salamanca, Spain

    Juan F. De Paz

  3. Department of Artificial Intelligence, Polytechnic University of Madrid, Madrid, Spain

    J. Bajo

Authors
  1. Gaetano C. La Delfa
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  2. V. Catania
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  3. S. Monteleone
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  4. Juan F. De Paz
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  5. J. Bajo
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Corresponding author

Correspondence to Gaetano C. La Delfa .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering Department, Qatar University, College of Engineering, Doha, Qatar

    Amr Mohamed

  2. Departamento de Informatica, ALGORITMI Centre, University of Minho, Braga, Portugal

    Paulo Novais

  3. Escola Superior de Tecnologia e Gestäo de Leiria, Instituto Politécnico de Leiria, Leiria, Portugal

    António Pereira

  4. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    Gabriel Villarrubia González

  5. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Antonio Fernández-Caballero

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© 2015 Springer International Publishing Switzerland

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Cite this paper

La Delfa, G.C., Catania, V., Monteleone, S., De Paz, J.F., Bajo, J. (2015). Computer Vision Based Indoor Navigation: A Visual Markers Evaluation. In: Mohamed, A., Novais, P., Pereira, A., Villarrubia González, G., Fernández-Caballero, A. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 376. Springer, Cham. https://doi.org/10.1007/978-3-319-19695-4_17

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  • DOI: https://doi.org/10.1007/978-3-319-19695-4_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19694-7

  • Online ISBN: 978-3-319-19695-4

  • eBook Packages: EngineeringEngineering (R0)

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