Spatiotemporal Deformable Prototypes for Motion Anomaly Detection.
Robert BenschNico ScherfJan HuiskenThomas BroxOlaf RonnebergerPublished in: Int. J. Comput. Vis. (2017)
Keyphrases
- anomaly detection
- space time
- intrusion detection
- moving objects
- detecting anomalies
- motion estimation
- network intrusion detection
- anomalous behavior
- network traffic
- intrusion detection system
- behavior analysis
- unsupervised learning
- detecting anomalous
- computer security
- network anomaly detection
- unsupervised anomaly detection
- motion field
- network security
- motion model
- image sequences
- one class support vector machines
- negative selection algorithm
- detect anomalies
- machine learning
- network intrusion
- maximum likelihood
- training set
- training data