Latest Research in Computer Vision Anomaly Detection

Top Research Topics in Computer Vision Anomaly Detection

• Computer Vision and Pattern Recognition — 15 papers
• Context-Aware Activity Recognition Systems — 14 papers
• Anomaly Detection Techniques and Applications — 7 papers
• Machine Learning — 6 papers
• Human Pose and Action Recognition — 6 papers
• Artificial Intelligence — 4 papers
• Signal Processing — 3 papers
• Indoor and Outdoor Localization Technologies — 3 papers
• IoT and GPS-based Vehicle Safety Systems — 2 papers
• Non-Invasive Vital Sign Monitoring — 2 papers

Highest-Cited Papers

1. Learn the interactions: Weakly supervised video anomaly detection with human-object interactions
2. Fine-Tuned YOLOv8n for Automated Helmet and Seatbelt Compliance Detection in Resource-Constrained Road Safety Enforcement
3. YOLO world guides open world video anomaly detection
4. Symmetry-Guided YOLO11 for Mixed-Scale Safety Detection in Power-Line Work-at-Height Scenes
5. Adaptive Convolutional Neural Network-Enhanced Scale-Fusion Network for Human Activity Recognition Using Wearable Sensors
6. Development of Wearable Sensor Platform for Fall Risk Assessment and Fall Detection
7. Privacy-Preserving Detection of Post-Fall Lying Posture Using a Low-Resolution Infrared Sensor and an Edge FOMO Neural Network
8. EvoSherlock: Towards Agentic Lifelong Evolution for Unseen Long-Tailed Security-Critical Events in Videos
9. Smart Insole Human Activity Recognition for Continuous Monitoring in Elderly Care
10. Explainable attention-guided deep learning for physiological signal processing in body area networks
11. MICA-Net: A Multimodal Cross-Attention Network for Human Action Recognition
12. Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition
13. RoboVAD: A Large Cross-Domain Evaluation Benchmark for Anomaly Detection in Robotic Arm Manipulation Videos
14. Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions
15. Comparative Analysis of Metaheuristic Feature Selection in SVM-Based Human Activity Recognition
16. A Statistic-Augmented Neural Network for change point detection and type identification
17. EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition
18. Unsupervised Keypoints for Real-Time Fall Detection: Comparative Analysis Under Real-world Conditions with Predictive Bandwidth Reduction
19. Oto-Meal: Earable Sensing with PPG and IMU for Personalized Meal Awareness
20. Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection

Sub-Regions

• Context-Aware Activity Recognition Systems — 32 papers
• Anomaly Detection Techniques and Applications — 18 papers
• Computer Vision and Pattern Recognition — 12 papers
• Advanced Neural Network Applications — 10 papers
• Machine Learning — 7 papers
• IoT and GPS-based Vehicle Safety Systems — 4 papers