Problem
Research questions and friction points this paper is trying to address.
smart glasses
full-body privacy
person re-identification
MIRAGE: Full-Body Bystander Privacy for Smart Glasses with Consent-Based Restoration
🤖 AI Summary
MIRAGE系统通过全身体态替换和加密恢复材料，解决了智能眼镜录像中非授权的全身体态识别问题。
📝 Abstract
Video recording on smart glasses exposes more than faces. Continuous capture reveals full-body biometric signatures, including gait, posture, and silhouette, that enable person re-identification (ReID) even after conventional face sanitization.
We present MIRAGE, a three-tier architecture for privacy-preserving smart glasses that enforces full-body privacy, supports synthetic full-body replacement, and retains encrypted recovery material for consent-based restoration. We implement MIRAGE on a Raspberry Pi~5 (a CPU-only proxy for smart-glasses compute), companion phones, and a cloud generative backend. Compared to prior systems, MIRAGE achieves 0.948 AP and 0.976 AR while accurately detecting the complete visible body. Its bounding box masking reduces learned silhouette-based ReID to essentially random guessing, with 10.86% Rank-1 accuracy compared with an 11.12% measured chance level. Even against an adaptive adversary retrained on MIRAGE's sanitized pose signals, Rank-1 gait identification drops from 90.25% to 26.20%, removing 72.5% of the adversary's identification advantage.
Innovation
Methods, ideas, or system contributions that make the work stand out.
full-body privacy
synthetic full-body replacement
consent-based restoration
smart glasses
person re-identification
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