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.-05.05.2022)
doi: 10.1145/3491101.3519645
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Doula, Achref ; Sanchez Guinea, Alejandro ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | VR-Surv: A VR-Based Privacy Preserving Surveillance System |
| Sprache: | Englisch |
| Publikationsjahr: | 28 April 2022 |
| Verlag: | ACM |
| Buchtitel: | CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems |
| Veranstaltungstitel: | 2022 CHI Conference on Human Factors in Computing Systems |
| Veranstaltungsort: | New Orleans, USA |
| Veranstaltungsdatum: | 29.04.-05.05.2022 |
| DOI: | 10.1145/3491101.3519645 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Surveillance, Virtual Reality, Procedural Generation, Privacy, Motion Capture, Urban Environment, emergenCITY_INF |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY |
| Hinterlegungsdatum: | 07 Sep 2022 08:02 |
| Letzte Änderung: | 27 Okt 2022 09:41 |
| PPN: | 498972011 |
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| Suche nach Titel in: | TUfind oder in Google |
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