2022 journal article
A Survey of Single-Scene Video Anomaly Detection
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 44(5), 2293–2312.
author keywords: Anomaly detection; Computational modeling; Cameras; Training; Buildings; Legged locomotion; Feeds; Video anomaly detection; abnormal event detection; surveillance
MeSH headings : Algorithms
TL;DR:
This article summarizes research trends on the topic of anomaly detection in video feeds of a single scene and categorizes and situates past research into an intuitive taxonomy, and provides a comprehensive comparison of the accuracy of many algorithms on standard test sets.
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Added: May 23, 2022
This article summarizes research trends on the topic of anomaly detection in video feeds of a single scene. We discuss the various problem formulations, publicly available datasets and evaluation criteria. We categorize and situate past research into an intuitive taxonomy and provide a comprehensive comparison of the accuracy of many algorithms on standard test sets. Finally, we also provide best practices and suggest some possible directions for future research.