Feature-based Anomaly Detection System
David Hannasch, Jessica L. Jones, Potter, Kevin, Anthony P. Garland · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2022
SAND2022-7963 O The Feature-Based Anomaly Detection System detects anomalies in video data based on features derived from pre-trained image models to avoid the need for training. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.