Unsupervised End-to-End Transformer based approach for Video Anomaly Detection.
Muhammad Adeel HafeezSajid JavedMichael G. MaddenIhsan UllahPublished in: IVCNZ (2023)
Keyphrases
- end to end
- anomaly detection
- unsupervised anomaly detection
- scalable video
- unsupervised learning
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- video data
- network traffic
- video content
- video sequences
- video streams
- video frames
- intrusion detection system
- one class support vector machines
- network anomaly detection
- supervised learning
- detect anomalies
- machine learning
- computer vision
- training data
- transport layer
- negative selection algorithm
- active learning
- congestion control
- computational complexity
- real world