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CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras

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Business Modeling and Software Design (BMSD 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 453))

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Abstract

In this work, we present CCTV-Exposure – the first CCTV-aware solution to evaluate potential privacy exposure to closed-circuit television (CCTV) cameras. The objective was to develop a toolset for quantifying human exposure to CCTV cameras from a privacy perspective. Our novel approach is trajectory analysis of the individuals, coupled with a database of geo-location mapped CCTV cameras annotated with minimal yet sufficient meta-information. For this purpose, CCTV-Exposure model based on a Global Positioning System (GPS) tracking was applied to estimate individual privacy exposure in different scenarios. The current investigation provides an application example and validation of the modeling approach. The methodology and toolset developed and implemented in this work provide time-sequence and location-sequence of the exposure events, thus making possible association of the exposure with the individual activities and cameras, and delivers main statistics on individual’s exposure to CCTV cameras with high spatio-temporal resolution.

H. Turtiainen—An extended version of our paper is also available [18].

A. Costin—Original idea author.

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Notes

  1. 1.

    https://pypi.org/project/GPXpy/, https://github.com/tkrajina/GPXpy.

  2. 2.

    https://numpy.org/.

  3. 3.

    https://www.gpsvisualizer.com.

  4. 4.

    https://gotoes.org.

  5. 5.

    https://www.alltrails.com/converter.

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Acknowledgement

Part of this research was supported by a grant from the Decision of the Research Dean on research funding within the Faculty (17.06.2020) of the Faculty of Information Technology of the University of Jyväskylä (The authors thank Dr. Andrei Costin for facilitating and managing the grant). Hannu Turtiainen also thanks the Finnish Cultural Foundation / Suomen Kulttuurirahasto (https://skr.fi/en) for supporting his Ph.D. dissertation work and research (under grant decision no. 00221059) and the Faculty of Information Technology of the University of Jyvaskyla (JYU), in particular, Prof. Timo Hämäläinen, for partly supporting and supervising his Ph.D. work at JYU in 2021–2022. Map images in Figs. 1a, 1b, 2, and 1 are generated with Folium (for Python) library (https://python-visualization.github.io/folium/) using OpenStreetMap data (https://www.openstreetmap.org). Map image in Fig. 1c is generated in GPSVisualizer.com (https://www.gpsvisualizer.com) also using OpenStreetMap data.

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Authors and Affiliations

  1. Faculty of Information Technology, University of Jyväskylä, P.O. Box 35, 40014, Jyväskylä, Finland

    Hannu Turtiainen, Andrei Costin & Timo Hämäläinen

Authors
  1. Hannu Turtiainen
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  2. Andrei Costin
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  3. Timo Hämäläinen
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Corresponding author

Correspondence to Andrei Costin .

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Editors and Affiliations

  1. Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

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Turtiainen, H., Costin, A., Hämäläinen, T. (2022). CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2022. Lecture Notes in Business Information Processing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-11510-3_20

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  • DOI: https://doi.org/10.1007/978-3-031-11510-3_20

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  • Online ISBN: 978-3-031-11510-3

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