What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks.
Thomas GoldaNils MurzynChengchao QuKristian KroschelPublished in: CoRR (2019)
Keyphrases
- motion prediction
- short term
- anomaly detection
- long term
- intrusion detection
- short term and long term
- detecting anomalies
- unsupervised learning
- network intrusion detection
- intrusion detection system
- network traffic
- anomalous behavior
- detect anomalies
- one class support vector machines
- pattern recognition
- negative selection algorithm
- kalman filter
- forecasting model
- knn
- motion field
- fuzzy logic
- object recognition