Real-time global anomaly detection for crowd video surveillance using SIFT.
Püren GülerAlptekin TemizelTugba Taskaya-TemizelPublished in: ICDP (2013)
Keyphrases
- anomaly detection
- video surveillance
- real time
- surveillance videos
- traffic monitoring
- surveillance system
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- moving objects
- computer vision
- network traffic
- background subtraction
- behavior analysis
- event detection
- object tracking
- network anomaly detection
- moving object detection
- object recognition
- smoke detection
- intrusion detection system
- unsupervised learning
- one class support vector machines
- detect anomalies
- object detection
- data sets
- image features
- clustering algorithm
- learning algorithm
- machine learning