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: AVSS (2019)
Keyphrases
- motion prediction
- short term
- anomaly detection
- long term
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- unsupervised learning
- network traffic
- short term and long term
- detect anomalies
- intrusion detection system
- one class support vector machines
- forecasting model
- motion estimation
- negative selection algorithm
- high dimensional
- image sequences