HR-Crime: Human-Related Anomaly Detection in Surveillance Videos
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Abstract (arXiv)
The automatic detection of anomalies captured by surveillance settings is essential for speeding the otherwise laborious approach. To date, UCF-Crime is the largest available dataset for automatic visual analysis of anomalies and consists of real-world crime scenes of various categories. In this paper, we introduce HR-Crime, a subset of the UCF-Crime dataset suitable for human-related anomaly detection tasks. We rely on state-of-the-art techniques to build the feature extraction pipeline for human-related anomaly detection. Furthermore, we present the baseline anomaly detection analysis on the HR-Crime. HR-Crime as well as the developed feature extraction pipeline and the extracted features will be publicly available for further research in the field.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 13 of its 18 references that are in the map. First posted on arXiv 31 Jul 2021.
Builds on
13 of 18 references.
References · 13
- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
- 2018Real-world Anomaly Detection in Surveillance Videoscited by 570
- 2017Future Frame Prediction for Anomaly Detection -- A New Baselinecited by 391
- 2016RMPE: Regional Multi-person Pose Estimationcited by 340
- 2019Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videoscited by 103
- 2016DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Modelcited by 96
- 2019Street Scene: A new dataset and evaluation protocol for video anomaly detectioncited by 89
- 2020A Survey of Single-Scene Video Anomaly Detectioncited by 88
- 2018Pose Flow: Efficient Online Pose Trackingcited by 80
- 2018MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Networkcited by 47
- 2016PoseTrack: Joint Multi-Person Pose Estimation and Trackingcited by 44
- 2016ArtTrack: Articulated Multi-person Tracking in the Wildcited by 27
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Citing papers per year: 2022: 3; 2023: 0; 2024: 2.
5 papers.
- 2022Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directionscited by 14
- 2024Privacy-Preserving Video Anomaly Detection: A Surveycited by 11
- 2022Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videoscited by 8
- 2022Crime scene classification from skeletal trajectory analysis in surveillance settingscited by 3
- 2024Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detectioncited by 3
- 2024Privacy-Preserving Video Anomaly Detection: A Survey21 Nov 2024
- 2024Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detection5 Sep 2024
- 2022Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions31 Dec 2022
- 2022Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos20 Dec 2022
- 2022Crime scene classification from skeletal trajectory analysis in surveillance settings4 Jul 2022