Video Scrambling for Privacy Protection in Video Surveillance - Recent Results and Validation Framework

被引:14
作者
Dufaux, Frederic [1 ]
机构
[1] Telecom ParisTech, CNRS, UMR 5141, Lab Traitement & Commun Informat, F-75634 Paris 13, France
来源
MOBILE MULTIMEDIA/IMAGE PROCESSING, SECURITY, AND APPLICATIONS 2011 | 2011年 / 8063卷
关键词
Video surveillance; privacy; scrambling; face recognition;
D O I
10.1117/12.883948
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The issue of privacy in video surveillance has drawn a lot of interest lately. However, thorough performance analysis and validation is still lacking, especially regarding the fulfillment of privacy-related requirements. In this paper, we first review recent Privacy Enabling Technologies (PET). Next, we discuss pertinent evaluation criteria for effective privacy protection. We then put forward a framework to assess the capacity of PET solutions to hide distinguishing facial information and to conceal identity. We conduct comprehensive and rigorous experiments to evaluate the performance of face recognition algorithms applied to images altered by PET. Results show the ineffectiveness of naive PET such as pixelization and blur. Conversely, they demonstrate the effectiveness of more sophisticated scrambling techniques to foil face recognition.
引用
收藏
页数:14
相关论文
共 31 条
[1]  
Ahamed SV, 2010, IEEE SYS MAN CYBERN
[2]  
[Anonymous], FACIAL RECOGNITION T
[3]  
[Anonymous], 1998, FACE RECOGNITION
[4]  
[Anonymous], 2009, Protecting Privacy in Video Surveillance
[5]  
[Anonymous], P IEEE C COMP VIS PA
[6]  
[Anonymous], 2003, IEEE Security Privacy
[7]  
[Anonymous], P IEEE INT C MULT EX
[8]  
BOULT TE, 2005, IEEE WORKSH COMP VIS
[9]   Compression independent reversible encryption for privacy in video surveillance [J].
Kalva H. ;
Carrillo P. ;
Magliveras S. .
EURASIP Journal on Information Security, 2009 (1)
[10]   Privacy in video surveillance [J].
Cavallaro, Andrea .
IEEE SIGNAL PROCESSING MAGAZINE, 2007, 24 (02) :168-+