Title :
Privacy enablement in a surveillance system
Author_Institution :
IBM T. J. Watson Res. Center, Yorktown Heights, NY
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;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712096