Doula, Achref ; Sanchez Guinea, Alejandro ; Mühlhäuser, Max (2022)
VR-Surv: A VR-Based Privacy Preserving Surveillance System.
2022 CHI Conference on Human Factors in Computing Systems. New Orleans, USA (29.04.2022-05.05.2022)
doi: 10.1145/3491101.3519645
Conference or Workshop Item, Bibliographie
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2022 |
| Creators: | Doula, Achref ; Sanchez Guinea, Alejandro ; Mühlhäuser, Max |
| Type of entry: | Bibliographie |
| Title: | VR-Surv: A VR-Based Privacy Preserving Surveillance System |
| Language: | English |
| Date: | 28 April 2022 |
| Publisher: | ACM |
| Book Title: | CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems |
| Event Title: | 2022 CHI Conference on Human Factors in Computing Systems |
| Event Location: | New Orleans, USA |
| Event Dates: | 29.04.2022-05.05.2022 |
| DOI: | 10.1145/3491101.3519645 |
| 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. |
| Uncontrolled Keywords: | Surveillance, Virtual Reality, Procedural Generation, Privacy, Motion Capture, Urban Environment, emergenCITY_INF |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Telecooperation LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY |
| Date Deposited: | 07 Sep 2022 08:02 |
| Last Modified: | 27 Oct 2022 09:41 |
| PPN: | 498972011 |
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