PriSurv: privacy protected video surveillance system using adaptive visual abstraction

Authors:
Kenta Chinomi;Naoko Nitta;Yoshimichi Ito;Noboru Babaguchi
Affiliations:
Graduate School of Engineering, Osaka University, Japan;Graduate School of Engineering, Osaka University, Japan;Graduate School of Engineering, Osaka University, Japan;Graduate School of Engineering, Osaka University, Japan
Venue:
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Year:
2008

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Abstract

Recently, video surveillance has received a lot of attention as a technology to realize a secure and safe community. Video surveillance is useful for crime deterrence and investigations, but may cause the invasion of privacy. In this paper, we propose a video surveillance system named PriSurv, which is characterized by visual abstraction. This system protects the privacy of objects in a video by referring to their privacy policies which are determined according to closeness between objects in the video and viewers monitoring it. A prototype of PriSurv is able to protect the privacy adaptively through visual abstraction.