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A Multi-Layered Privacy-Preserving Approach to Obfuscated Human Action Recognition for Robust Anomaly Detection

2024-12-16

Abstract excerpt

Privacy-preserving human activity anomaly detection has become critical in privacy-sensitive fields like video surveillance, healthcare, and assisted living. While human action recognition offers significant advantages in automated analysis, it raises confidentiality concerns. This paper introduces Obfuscated Action Detection, a novel framework that uses Generative Adversarial Networks (GANs) for temporal obfuscat...

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Literature Corpus work
95afb250-2b6a-5576-a3d2-8efd0c7fbf6d
DOI
10.22541/au.173434521.11850748/v1
Open publication

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A Multi-Layered Privacy-Preserving Approach to Obfuscated Human Action Recognition for Robust Anomaly DetectionDOI 10.22541/au.173434521.11850748/v1
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