Privacy preserving video surveillance using pedestrian tracking mechanism

Peng Zhang, Tony Thomas, Sabu Emmanuel, Mohan S. Kankanhalli

科研成果: 书/报告/会议事项章节会议稿件同行评审

14 引用 (Scopus)

摘要

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.

源语言英语
主期刊名MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010
31-36
页数6
DOI
出版状态已出版 - 2010
已对外发布
活动MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010 - Firenze, 意大利
期限: 29 10月 201029 10月 2010

出版系列

姓名MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010

会议

会议MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010
国家/地区意大利
Firenze
时期29/10/1029/10/10

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