mlsanityData to 7 Oct 2026

Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey

arXiv 1901.08292 ↗First posted 24 Jan 2019cs.CVcited by 30

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Abstract (arXiv)

Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. In this paper, we present a survey on relevant visual surveillance related researches for anomaly detection in public places, focusing primarily on roads. Firstly, we revisit the surveys done in the last 10 years in this field. Since the underlying building block of a typical anomaly detection is learning, we emphasize more on learning methods applied on video scenes. We then summarize the important contributions made during last six years on anomaly detection primarily focusing on features, underlying techniques, applied scenarios and types of anomalies using single static camera. Finally, we discuss the challenges in the computer vision related anomaly detection techniques and some of the important future possibilities.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Jan 2019.

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Citing papers per year: 2021: 4; 2022: 5; 2023: 6; 2024: 9; 2025: 4; 2026: 2.

30 papers.

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  1. 2023Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Modelscited by 59
  2. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  3. 2023Vision-Based Traffic Accident Detection and Anticipation: A Surveycited by 31
  4. 2024Deep Learning for Video Anomaly Detection: A Reviewcited by 27
  5. 2021A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Treescited by 26
  6. 2024Networking Systems for Video Anomaly Detection: A Tutorial and Surveycited by 21
  7. 2024Continuous Memory Representation for Anomaly Detectioncited by 16
  8. 2022Deep Learning Serves Traffic Safety Analysis: A Forward-looking Reviewcited by 13
  9. 2024Privacy-Preserving Video Anomaly Detection: A Surveycited by 11
  10. 2023Survey on video anomaly detection in dynamic scenes with moving camerascited by 10
  11. 2024FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detectioncited by 8
  12. 2022Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Reviewcited by 7
18 more
  1. 2021Anomaly Detection using Edge Computing in Video Surveillance System: Reviewcited by 6
  2. 2024Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Surveycited by 4
  3. 2025A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environmentcited by 4
  4. 2025Towards Continual Visual Anomaly Detection in the Medical Domaincited by 3
  5. 2023From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Managementcited by 2
  6. 2023Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuningcited by 2
  7. 2021Anomaly Detection in Residential Video Surveillance on Edge Devices in IoT Frameworkcited by 1
  8. 2022Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videoscited by 1
  9. 2022Spatio-Temporal Relation Learning for Video Anomaly Detectioncited by 1
  10. 2022Pedestrian Spatio-Temporal Information Fusion For Video Anomaly Detectioncited by 1
  11. 2023Uncertainty Quantification for Image-based Traffic Prediction across Citiescited by 1
  12. 2024uTRAND: Unsupervised Anomaly Detection in Traffic Trajectoriescited by 1
  13. 2024Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Drivingcited by 1
  14. 2024AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Propertiescited by 1
  15. 2025Integrating Generative Adversarial Networks and Convolutional Neural Networks for Enhanced Traffic Accidents Detection and Analysiscited by 1
  16. 2025What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studiescited by 1
  17. 2026Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inferencecited by 0
  18. 2026An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?cited by 0