Technologies for Granting Balance between Security and Privacy in Video-Surveillance

Protecting citizens' privacy is a critical issue in the nowadays society. As data collection capabilities increase with the introduction of new technologies for automatic data capturing, new threats related to privacy protection need to be faced. In this field, video surveillance represents a critical technology: the existence of large amounts of stored personal data increases the probability of personal data misuse. In this paper, a technology that tackles the complex challenge of balancing security and privacy in video-surveillance is presented. The technology has potential for a greater social acceptance of video surveillance technology, due to the inclusion of the value of privacy alongside the enhanced security.

[1]  H. Nissenbaum.  Privacy as contextual integrity , 2004 .

[2]  P. Hernon.  Protecting privacy in surveillance societies: By David H. Flaherty. Chapel Hill, North Carolina:The University of North Carolina Press, 1989, 483 pages, $45.00. IBSN: 0-8078-1871-2. , 1990 .

[3]  Donald F. Norris,et al.  Regulating Privacy: Data Protection and Public Policy in Europe and the United States. By Colin J. Bennett. Ithaca: Cornell University Press, 1992. 263p. $39.95 cloth, $16.95 paper. , 1993, American Political Science Review.

[4]  Luc Van Gool,et al.  SURF: Speeded Up Robust Features , 2006, ECCV.

[5]  G. Armstrong,et al.  The Maximum Surveillance Society: The Rise of CCTV , 1999 .

[6]  Andrzej Czyzewski,et al.  Sensitive Audio Data Encryption for Multimodal Surveillance Systems , 2012 .

[7]  Donald A. Adjeroh,et al.  Illumination-Invariant Morphological Texture Classification , 2005, ISMM.

[8]  Narendra Ahuja,et al.  Pedestrian Recognition with a Learned Metric , 2010, ACCV.

[9]  Andrzej Czyzewski,et al.  A Framework for Automatic Detection of Abandoned Luggage in Airport Terminal , 2010 .

[10]  Ramesh C. Jain,et al.  A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video , 2002, Pattern Recognit..

[11]  Charles Oppenheim,et al.  Privacy Impact Assessments: International Study of Their Application and Effects , 2007 .

[12]  Andrzej Czyzewski,et al.  Reversible video stream anonymization for video surveillance systems based on pixels relocation and watermarking , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[13]  Gary T. Marx,et al.  An Ethics For The New Surveillance , 1998, Inf. Soc..

[14]  Andrzej Czyzewski,et al.  Application of Virtual Gate for Counting People Participating in Large Public Events , 2012, MCSS.

[15]  Larry S. Davis,et al.  Unified multi-camera detection and tracking using region-matching , 2001, Proceedings 2001 IEEE Workshop on Multi-Object Tracking.