mlsanityData to 14 Oct 2026

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

arXiv 1903.03295 ↗First posted 8 Mar 2019cs.CVcited by 104

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Abstract (arXiv)

Appearance features have been widely used in video anomaly detection even though they contain complex entangled factors. We propose a new method to model the normal patterns of human movements in surveillance video for anomaly detection using dynamic skeleton features. We decompose the skeletal movements into two sub-components: global body movement and local body posture. We model the dynamics and interaction of the coupled features in our novel Message-Passing Encoder-Decoder Recurrent Network. We observed that the decoupled features collaboratively interact in our spatio-temporal model to accurately identify human-related irregular events from surveillance video sequences. Compared to traditional appearance-based models, our method achieves superior outlier detection performance. Our model also offers "open-box" examination and decision explanation made possible by the semantically understandable features and a network architecture supporting interpretability.

Key facts. Cited by 104 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Mar 2019.

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Citing papers per year: 2021: 15; 2022: 18; 2023: 21; 2024: 26; 2025: 14; 2026: 10.

104 papers.

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  1. 2021Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learningcited by 230
  2. 2021A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Predictioncited by 129
  3. 2022Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wildcited by 70
  4. 2022Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzlescited by 62
  5. 2022Normalizing Flows for Human Pose Anomaly Detectioncited by 60
  6. 2024Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Modelscited by 57
  7. 2023Video Event Restoration Based on Keyframes for Video Anomaly Detectioncited by 54
  8. 2024Advancing Video Anomaly Detection: A Concise Review and a New Datasetcited by 49
  9. 2023A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipationcited by 42
  10. 2023Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detectioncited by 42
  11. 2023Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detectioncited by 39
  12. 2021A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videoscited by 28
38 more
  1. 2024Deep Learning for Video Anomaly Detection: A Reviewcited by 27
  2. 2022DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Networkcited by 26
  3. 2021Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detectioncited by 22
  4. 2021Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinementcited by 21
  5. 2023Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Featurescited by 21
  6. 2024An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Predictioncited by 19
  7. 2022Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detectioncited by 18
  8. 2022CHAD: Charlotte Anomaly Datasetcited by 18
  9. 2023Graph Anomaly Detection in Time Series: A Surveycited by 18
  10. 2024Video Anomaly Detection in 10 Years: A Survey and Outlookcited by 18
  11. 2021Learnable Locality-Sensitive Hashing for Video Anomaly Detectioncited by 17
  12. 2023Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Thingscited by 17
  13. 2021Learning Asynchronous and Sparse Human-Object Interaction in Videoscited by 16
  14. 2021Anomaly Detection in Multi-Agent Trajectories for Automated Drivingcited by 15
  15. 2023Understanding the Challenges and Opportunities of Pose-based Anomaly Detectioncited by 15
  16. 2023Holistic Representation Learning for Multitask Trajectory Anomaly Detectioncited by 15
  17. 2021Deep Video Anomaly Detection: Opportunities and Challengescited by 14
  18. 2022Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directionscited by 14
  19. 2023Contracting Skeletal Kinematics for Human-Related Video Anomaly Detectioncited by 14
  20. 2023A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detectioncited by 13
  21. 2024Privacy-Preserving Video Anomaly Detection: A Surveycited by 11
  22. 2022Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detectioncited by 10
  23. 2023Making Reconstruction-based Method Great Again for Video Anomaly Detectioncited by 10
  24. 2023Survey on video anomaly detection in dynamic scenes with moving camerascited by 10
  25. 2024A Survey on Multimodal Wearable Sensor-based Human Action Recognitioncited by 10
  26. 2023Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safetycited by 9
  27. 2024Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detectioncited by 9
  28. 2022Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videoscited by 8
  29. 2024VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detectioncited by 8
  30. 2021A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methodscited by 7
  31. 2022BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detectioncited by 7
  32. 2023Exploring the Potential of World Models for Anomaly Detection in Autonomous Drivingcited by 7
  33. 2024Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deploymentcited by 7
  34. 2024DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detectioncited by 7
  35. 2024Towards Physical World Backdoor Attacks against Skeleton Action Recognitioncited by 7
  36. 2025Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detectioncited by 7
  37. 2025UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generationcited by 7
  38. 2021A Modular and Unified Framework for Detecting and Localizing Video Anomaliescited by 6

50 most cited of 104 All 104 (JSON)