Advertisement
Published in:
2008 | OriginalPaper | Chapter
PriSurv: Privacy Protected Video Surveillance System Using Adaptive Visual Abstraction
Authors : Kenta Chinomi, Naoko Nitta, Yoshimichi Ito, Noboru Babaguchi
Published in: Advances in Multimedia Modeling
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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
.