Event analogy for privacy preservation in visual surveillance

Yan, W-Q
Liu, F
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title

Privacy preservation as a thorny problem in surveillance has been arisen because of its relevance to human right, however it has not been completely solved yet today. In this paper, we investigate this existing problem and expect to get ride of those intuitive methods such as pixelization, blurring or mosaicking on human face regions through object tracking. We detail privacy preservation at event level and thereafter choose suitable events represented by motion pictures in virtual reality to replace those events of surveillance in real reality. The advantage of taking use of this approach is to leverage the utility and privacy of surveillance events. The outcome will not affect visual effects and surveillance security much however it is able to achieve the objectives of privacy preservation.

Event analogy; Surveillance event; Privacy preservation; Real reality; Virtual reality
International Workshop on Video Surveillance held at Auckland, New Zealand, 2015-11-24 to 2015-11-24, published in: International Workshop on Video Surveillance, vol.1(1), pp.357 - 368 (12)
Rights statement
An author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder’s or funder’s designated repository at the funder’s request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/ she may not use the publisher's PDF version, which is posted on www.springerlink.com, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at www.springerlink.com”. (Please also see Publisher’s Version and Citation).