Privacy enablement in a surveillance system

Author

Senior, Andrew

Author_Institution

IBM T. J. Watson Res. Center, Yorktown Heights, NY

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

1680

Lastpage

1683

Abstract

This paper presents mechanisms for privacy protection in a distributed, multicamera surveillance system. The design choices and alternatives for providing privacy protection while delivering meaningful surveillance data for security and retail environments are described, followed by performance metrics to evaluate the effectiveness of privacy protection measures and experiments to evaluate these in retail store video. The paper concludes with a discussion including five principles for data presentation of privacy protection systems.

Keywords

face recognition; video surveillance; 3D shape from-image focus estimation; PCA; RMSE; SFF; depth map approximation; depth value calculation; feature analysis approach; passive optical shape recovery method; principal component analysis; statistical metrics root mean square error methods; synthetic image sequence; Data privacy; Data security; Image databases; Image storage; Information analysis; Measurement; Performance analysis; Protection; Streaming media; Video surveillance; Privacy protection; face tracking; performance analysis; redaction; retail; video analytics; video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4712096

Filename

4712096