Blinkering Surveillance: Enabling Video Privacy through Computer Vision (title in journal: Enabling Video Privacy through Computer Vision)

Copyright © (2005) by IEEE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distrubuted for profit. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee.

In this paper we describe a technology for protecting privacy in video systems. The paper presents a review of privacy in video surveillance and describes how a computer vision approach to understanding the video can be used to represent "just enough" of the information contained in a video stream to allow video-based tasks (including both surveillance and other "person aware" applications) to be accomplished, while hiding superfluous details, particularly identity, that can contain privacy-intrusive information. The technology has been implemented in the form of a privacy console that manages operator access to different versions of the video-derived data according to access control lists. We have also built PrivacyCam - a smart camera that produces a video stream with the privacy-intrusive information already removed.

By: Andrew Senior, Sharath Pankanti, Arun Hampapur, Lisa Brown, Ying-Li Tian, Ahmet Ekin

Published in: IEEE Security & Privacy, volume 3, (no 3), pages 50-7 in 2005


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