Real-Time Indoor Positioning with Multiple Cameras 


Vol. 45,  No. 9, pp. 1612-1622, Sep.  2020
10.7840/kics.2020.45.9.1612


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  Abstract

In this paper, we propose an indoor positioning algorithm using video streams from multiple cameras. For safety and production management in a factory, a 3 dimensional location of a specific object is necessary. Video streams are gathered in a various ways such as CCTVs(Closed Circuit TeleVision) and webcams installed in the factory and the proposed algorithm estimates and traces locations of a specific object in a 3 dimension. We conducted experiments with various environments to verify performance. The experiments show root mean square errors of 9.2mm in the x-axis, 19.9 mm in the y-axis, and 24.4 mm in a z-axis.

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  Cite this article

[IEEE Style]

Y. Go, S. Kwon, S. Cheon, "Real-Time Indoor Positioning with Multiple Cameras," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 9, pp. 1612-1622, 2020. DOI: 10.7840/kics.2020.45.9.1612.

[ACM Style]

Young-jin Go, Sungoh Kwon, and Seong-eun Cheon. 2020. Real-Time Indoor Positioning with Multiple Cameras. The Journal of Korean Institute of Communications and Information Sciences, 45, 9, (2020), 1612-1622. DOI: 10.7840/kics.2020.45.9.1612.

[KICS Style]

Young-jin Go, Sungoh Kwon, Seong-eun Cheon, "Real-Time Indoor Positioning with Multiple Cameras," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 9, pp. 1612-1622, 9. 2020. (https://doi.org/10.7840/kics.2020.45.9.1612)