Anomaly Detection in Surveillance Videos Using Regression With Recurrent Neural Networks.
Mehmet YaganE. Alaattin YilmazHüseyin ÖzkanPublished in: SIU (2022)
Keyphrases
- recurrent neural networks
- anomaly detection
- surveillance videos
- intrusion detection
- object classification
- video surveillance
- video data
- object tracking
- multi camera
- event detection
- anomalous behavior
- network traffic
- neural network
- video sequences
- feed forward
- detecting anomalies
- artificial neural networks
- surveillance system
- real time
- network intrusion detection
- detect anomalies
- echo state networks
- model selection
- one class support vector machines
- moving target
- support vector
- network anomaly detection
- intrusion detection system
- negative selection algorithm
- moving objects
- normal behavior
- learning algorithm
- computer vision
- video analysis
- feature selection
- motion estimation
- unsupervised learning