Please use this identifier to cite or link to this item: https://doi.org/10.1145/1877972.1877983
Title: Privacy preserving video surveillance using pedestrian tracking mechanism
Authors: Zhang, P.
Thomas, T.
Emmanuel, S.
Kankanhalli, M.S. 
Keywords: Pedestrian tracking
Privacy
Video surveillance
Issue Date: 2010
Source: Zhang, P.,Thomas, T.,Emmanuel, S.,Kankanhalli, M.S. (2010). Privacy preserving video surveillance using pedestrian tracking mechanism. MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010 : 31-36. ScholarBank@NUS Repository. https://doi.org/10.1145/1877972.1877983
Abstract: Video surveillance has become a ubiquitous feature of the modern day life. However, the widespread use of video surveillance has raised concerns about the privacy of people. In this paper, we propose a novel video surveillance with a privacy preserving mechanism. We achieve this by combining the techniques of pedestrian tracking based on a Markov chain with two hidden states, elliptical head contour detection and encryption. The detected pedestrian face/head is obscured by encrypting with a unique key derived from a master key for the privacy preservation purpose. The surveillance video can be viewed with complete privacy or by revoking the privacy of any subset of pedestrians while ensuring complete privacy of the remaining pedestrians. The performance evaluation on many challenging surveillance scenarios shows that the proposed mechanism can effectively and robustly track multiple pedestrians and obscure their faces/head in real time.
Source Title: MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/40175
ISBN: 9781450301572
DOI: 10.1145/1877972.1877983
Appears in Collections:Staff Publications

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