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A Survey of Single-Scene Video Anomaly Detection

arXiv 2004.05993 ↗First posted 13 Apr 2020cs.CVcited by 88

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Abstract (arXiv)

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.

Key facts. Cited by 88 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Apr 2020.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 12; 2022: 20; 2023: 15; 2024: 13; 2025: 14; 2026: 14.

88 papers.

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  1. 2021Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learningcited by 230
  2. 2021Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detectioncited by 119
  3. 2021UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detectioncited by 93
  4. 2023Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detectioncited by 66
  5. 2023Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Modelscited by 59
  6. 2022SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detectioncited by 45
  7. 2023Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detectioncited by 43
  8. 2023A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipationcited by 42
  9. 2023Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detectioncited by 39
  10. 2023Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectorscited by 37
  11. 2022Self-Supervised Masked Convolutional Transformer Block for Anomaly Detectioncited by 34
  12. 2023Vision-Based Traffic Accident Detection and Anticipation: A Surveycited by 31
38 more
  1. 2024Deep Learning for Video Anomaly Detection: A Reviewcited by 27
  2. 2022Towards Open Set Video Anomaly Detectioncited by 26
  3. 2022Perturbation Learning Based Anomaly Detectioncited by 24
  4. 2021Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinementcited by 21
  5. 2024Networking Systems for Video Anomaly Detection: A Tutorial and Surveycited by 21
  6. 2022EVAL: Explainable Video Anomaly Localizationcited by 19
  7. 2022Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detectioncited by 18
  8. 2024Video Anomaly Detection in 10 Years: A Survey and Outlookcited by 18
  9. 2021Learnable Locality-Sensitive Hashing for Video Anomaly Detectioncited by 17
  10. 2021FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformationcited by 15
  11. 2021Deep Video Anomaly Detection: Opportunities and Challengescited by 14
  12. 2023LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detectioncited by 13
  13. 2023SOAR: Scene-debiasing Open-set Action Recognitioncited by 12
  14. 2025A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysiscited by 12
  15. 2024Context-aware Video Anomaly Detection in Long-Term Datasetscited by 11
  16. 2024Privacy-Preserving Video Anomaly Detection: A Surveycited by 11
  17. 2023Survey on video anomaly detection in dynamic scenes with moving camerascited by 10
  18. 2023Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approachcited by 10
  19. 2022Efficient High-Resolution Deep Learning: A Surveycited by 9
  20. 2024Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detectioncited by 9
  21. 2024Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomalycited by 9
  22. 2022Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videoscited by 8
  23. 2025Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Visioncited by 8
  24. 2025Anomaly Detection and Generation with Diffusion Models: A Surveycited by 8
  25. 2021Using Visual Anomaly Detection for Task Execution Monitoringcited by 7
  26. 2021A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methodscited by 7
  27. 2023Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videoscited by 7
  28. 2024Few-Shot Anomaly Detection via Category-Agnostic Registration Learningcited by 6
  29. 2024Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformercited by 6
  30. 2024Vision-Language Models Assisted Unsupervised Video Anomaly Detectioncited by 6
  31. 2021HR-Crime: Human-Related Anomaly Detection in Surveillance Videoscited by 5
  32. 2022Exploiting Spatial-temporal Correlations for Video Anomaly Detectioncited by 5
  33. 2022LGN-Net: Local-Global Normality Network for Video Anomaly Detectioncited by 5
  34. 2022NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worldscited by 4
  35. 2023Memory-augmented Online Video Anomaly Detectioncited by 4
  36. 2025Autoregressive Denoising Score Matching is a Good Video Anomaly Detectorcited by 4
  37. 2025The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLMcited by 4
  38. 2025A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environmentcited by 4

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