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Proceedings Paper

Privacy information management for video surveillance
Author(s): Ying Luo; Sen-ching S. Cheung
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Paper Abstract

The widespread deployment of surveillance cameras has raised serious privacy concerns. Many privacy-enhancing schemes have been proposed to automatically redact images of trusted individuals in the surveillance video. To identify these individuals for protection, the most reliable approach is to use biometric signals such as iris patterns as they are immutable and highly discriminative. In this paper, we propose a privacy data management system to be used in a privacy-aware video surveillance system. The privacy status of a subject is anonymously determined based on her iris pattern. For a trusted subject, the surveillance video is redacted and the original imagery is considered to be the privacy information. Our proposed system allows a subject to access her privacy information via the same biometric signal for privacy status determination. Two secure protocols, one for privacy information encryption and the other for privacy information retrieval are proposed. Error control coding is used to cope with the variability in iris patterns and efficient implementation is achieved using surrogate data records. Experimental results on a public iris biometric database demonstrate the validity of our framework.

Paper Details

Date Published: 31 May 2013
PDF: 7 pages
Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 871207 (31 May 2013); doi: 10.1117/12.2015999
Show Author Affiliations
Ying Luo, Univ. of Kentucky (United States)
Sen-ching S. Cheung, Univ. of Kentucky (United States)

Published in SPIE Proceedings Vol. 8712:
Biometric and Surveillance Technology for Human and Activity Identification X
Ioannis Kakadiaris; Walter J. Scheirer; Laurence G. Hassebrook, Editor(s)

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