Skeleton-based Anomaly Detection for CCTV Surveillance: A Real-Time Framework with Emergency Escalation
Conventional video surveillance based on pixel-level deep-learning models is resource hungry, processes gigabytes of video material, and retains biometric identifying data. This paper describes a lightweight, privacy-sensitive alternative that uses skeletal pose estimation to replace pixel-based processing. We only pro...