Anomaly Detection Based on Latent Feature Training in Surveillance Scenarios.
Yong QiangShumin FeiYiping JiaoPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- surveillance scenarios
- intrusion detection
- video surveillance
- anomalous behavior
- detecting anomalies
- surveillance videos
- network intrusion detection
- network traffic
- intrusion detection system
- unsupervised learning
- behavior analysis
- image features
- detect anomalies
- one class support vector machines
- network anomaly detection
- supervised learning
- gait analysis
- training set
- real time
- active learning
- negative selection algorithm