AI RESEARCH
Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection
arXiv CS.CV
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ArXi:2603.26745v1 Announce Type: new As embodied perception systems increasingly bridge digital and physical realms in interactive multimedia applications, the need for privacy-preserving approaches to understand human activities in physical environments has become paramount. Video anomaly detection is a critical task in such embodied multimedia systems for intelligent surveillance and forensic analysis.