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.
Originally published in BMSD 2022 12th International Symposium on Business Modeling and Software Design 27-29 June 2022, Fribourg, Switzerland.
Python:
- install requirements
python3 main.py -c <camera file location> -g <GPX file location> -r <OPTIONAL: selected range-of-vision>
Rust:
cargo run <GPX file location> <camera file location>
- Our computer vision model was also utilized in similar work conducted in the Netherlands. The paper 'Mapping CCTV Surveillance in Amsterdam' was authored by David Hofhuizen, Gino Koppe, Lucas Ulsamer, Seth van der Maas, Wouter van Lelyveld, and Hannu Turtiainen.
Please cite this work
@InProceedings{10.1007/978-3-031-11510-3_20, author="Turtiainen, Hannu and Costin, Andrei and H{\"a}m{\"a}l{\"a}inen, Timo", editor="Shishkov, Boris", title="CCTV-Exposure: System for Measuring User's Privacy Exposure to CCTV Cameras", booktitle="Business Modeling and Software Design", year="2022", publisher="Springer International Publishing", address="Cham", pages="289--298", 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.", isbn="978-3-031-11510-3" }
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