Unsupervised video anomaly detection using feature clustering.
Hao LiAlin AchimDavid R. BullPublished in: IET Signal Process. (2012)
Keyphrases
- anomaly detection
- unsupervised learning
- unsupervised anomaly detection
- intrusion detection
- novelty detection
- unsupervised manner
- network traffic
- detecting anomalies
- network intrusion detection
- video data
- anomalous behavior
- intrusion detection system
- video sequences
- clustering analysis
- one class support vector machines
- computer security
- supervised learning
- semi supervised
- behavior analysis
- network security
- data sets
- detect anomalies
- network anomaly detection
- negative selection algorithm
- training data
- self organizing maps
- clustering method
- clustering algorithm
- pairwise
- network intrusion
- feature vectors
- data points
- misuse detection
- machine learning