A Survey of Single-Scene Video Anomaly Detection
Bharathkumar Ramachandra, Michael Jones, Ranga Raju Vatsavai
Abstract
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.
Topics & Concepts
CategorizationComputer scienceAnomaly detectionArtificial intelligenceTaxonomy (biology)Data miningObject detectionPattern recognition (psychology)Machine learningAnomaly (physics)Computer visionInformation retrievalEncoding (memory)Image (mathematics)Test (biology)Contextual image classificationFeature extractionAnomaly Detection Techniques and ApplicationsHuman Pose and Action RecognitionVideo Analysis and Summarization