GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos.
Vladimir MonakhovVajira ThambawitaPål HalvorsenMichael A. RieglerPublished in: Sensors (2023)
Keyphrases
- anomaly detection
- hierarchical temporal memory
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- unsupervised anomaly detection
- computer security
- network anomaly detection
- video sequences
- intrusion detection system
- behavior analysis
- network security
- human activities
- network intrusion
- one class support vector machines
- detecting anomalous
- video data
- negative selection algorithm
- unsupervised learning
- machine learning