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Efficient Anonymous Biometric Matching In Privacy-Aware Environments, Ying Luo
Efficient Anonymous Biometric Matching In Privacy-Aware Environments, Ying Luo
Theses and Dissertations--Electrical and Computer Engineering
Video surveillance is an important tool used in security and environmental monitoring, however, the widespread deployment of surveillance cameras has raised serious privacy concerns. Many privacy-enhancing schemes have been recently proposed to automatically redact images of selected individuals in the surveillance video for protection. To identify these individuals for protection, the most reliable approach is to use biometric signals as they are immutable and highly discriminative. If misused, these characteristics of biometrics can seriously defeat the goal of privacy protection. In this dissertation, an Anonymous Biometric Access Control (ABAC) procedure is proposed based on biometric signals for privacy-aware video surveillance. …