A data stream-based approach for anomaly detection in surveillance videos.
Özge AydogduMurat EkinciPublished in: Multim. Tools Appl. (2024)
Keyphrases
- anomaly detection
- surveillance videos
- data streams
- streaming data
- intrusion detection
- video data
- object tracking
- multi camera
- network traffic
- object classification
- event detection
- detecting anomalies
- video surveillance
- anomalous behavior
- network intrusion detection
- network anomaly detection
- real time
- intrusion detection system
- one class support vector machines
- surveillance system
- unsupervised learning
- video sequences
- moving target
- compressed domain
- detect anomalies
- human activities
- concept drift
- video analysis
- data sets
- detection algorithm
- particle filter
- co occurrence
- supervised learning
- motion estimation
- k means
- moving objects
- object recognition
- similarity measure
- feature extraction