A Survey of Single-Scene Video Anomaly Detection
It provides a comprehensive overview for researchers and practitioners working on video anomaly detection, but it is incremental as it synthesizes existing work without introducing new methods.
This survey summarizes research trends in anomaly detection for single-scene video feeds, discussing problem formulations, datasets, evaluation criteria, and comparing algorithm accuracies on standard test sets.
This survey 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.