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

arXiv: https://arxiv.org/abs/2208.02159 · HTML: https://mlsanity.com/paper/2208.02159/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 28 references that are in the map.
- First posted on arXiv 2 Jul 2022.

## Builds on (most cited first, 2 of 2)

- [Feasibility Study on CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety. Jyvaskyla -- Case-study of the First City to Benefit from CCTV-aware Technology. (Preprint)](https://mlsanity.com/paper/2011.08598/) (2020)
- [OSRM-CCTV: Open-source CCTV-aware routing and navigation system for privacy, anonymity and safety (Preprint)](https://mlsanity.com/paper/2108.09369/) (2021)

## Abstract (arXiv)

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.