Activity classification and anomaly detection using m-mediods based modelling of motion patterns.
Shehzad KhalidPublished in: Pattern Recognit. (2010)
Keyphrases
- anomaly detection
- motion patterns
- intrusion detection
- detecting anomalies
- activity analysis
- anomalous behavior
- network traffic
- network intrusion detection
- unsupervised learning
- one class support vector machines
- pattern recognition
- spatio temporal
- network anomaly detection
- decision trees
- image sequences
- motion model
- feature selection
- feature vectors
- feature extraction
- intrusion detection system
- motion analysis
- negative selection algorithm
- behavior analysis
- machine learning
- space time
- supervised learning
- image processing
- hand gestures
- human activities
- appearance model
- activity recognition
- normal behavior
- detect anomalies
- probabilistic model
- clustering algorithm