CCTV-Exposure: An open-source system for measuring user's privacy exposure to mapped CCTV cameras based on geo-location (Extended Version)

Hannu Turtiainen, Andrei Costin, Timo Hamalainen
7/2/2022
cs.CRcs.CV

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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.

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Cite this paper

@article{turtiainen2022cctvexposure,
  title  = {CCTV-Exposure: An open-source system for measuring user's privacy exposure to mapped CCTV cameras based on geo-location (Extended Version)},
  author = {Hannu Turtiainen and Andrei Costin and Timo Hamalainen},
  year   = {2022},
  eprint = {2208.02159},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2208.02159v1}
}

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