MC-MIL: video surveillance anomaly detection with multi-instance learning and multiple overlapped cameras.
Silas Santiago Lopes PereiraJosé Everardo Bessa MaiaPublished in: Neural Comput. Appl. (2024)
Keyphrases
- anomaly detection
- video surveillance
- multi instance learning
- multiple cameras
- surveillance system
- multi instance
- intrusion detection
- background subtraction
- image recognition
- event detection
- moving objects
- computer vision
- image annotation
- real valued
- detect anomalies
- semi supervised learning
- unsupervised learning
- object tracking
- intrusion detection system
- supervised learning
- multi class
- gaussian mixture model
- text classification
- object recognition
- pattern recognition
- bayesian networks