Doula, Achref ; Sanchez Guinea, Alejandro ; Mühlhäuser, Max (2022):
VR-Surv: A VR-Based Privacy Preserving Surveillance System.
In: CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems,
ACM, 2022 CHI Conference on Human Factors in Computing Systems, New Orleans, USA, 29.04.-05.05.2022, ISBN 978-1-4503-9156-6,
DOI: 10.1145/3491101.3519645,
[Conference or Workshop Item]

Abstract

The recent advances in smart city infrastructure have provided support for a higher adoption of surveillance cameras as a mainstream crime prevention measure. However, a consequent massive deployment raises concerns about privacy issues among citizens. In this paper, we present VR-Surv, a VR-based privacy aware surveillance system for large scale urban environments. Our concept is based on conveying the semantics of the scene uniquely, without revealing the identity of the individuals or the contextual details that might violate the privacy of the entities present in the surveillance area. For this, we create a virtual replica of the areas of interest, in real-time, through the combination of procedurally generated environments and markerless motion capture models. The results of our preliminary evaluation revealed that our system successfully conceals privacy-sensitive data, while preserving the semantics of the scene. Furthermore, participants in our user study expressed higher acceptance to being surveilled through the proposed system.

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