Zero-Shot Video Action Recognition for Retail Shoplifting Prevention
Spatio-temporal 3D CNN analyzing CCTV video streams to classify concealment and suspicious shelf-clearing behaviors in real time.
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Project Technical Overview
Processes multi-camera RTSP surveillance feeds. Employs a lightweight VideoMAE / SlowFast 3D convolutional model to detect anomalous shoplifting actions (pocketing merchandise, concealing items in bags) while ignoring normal customer browsing, raising instant store security alerts.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.