Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining.
Chongke WuSicong ShaoCihan TuncSalim HaririPublished in: AICCSA (2020)
Keyphrases
- anomaly detection
- neural nets
- pre trained
- intrusion detection
- training data
- feed forward
- detect anomalies
- network intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- neural network
- intrusion detection system
- artificial neural networks
- training examples
- back propagation
- video frames
- knowledge discovery
- unsupervised learning
- data mining techniques
- control signals
- data mining
- one class support vector machines
- video sequences
- negative selection algorithm
- real time
- appearance variations
- image segmentation