Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit Surveillance.
Tianming YuJianhua YangWei LuPublished in: Algorithms (2019)
Keyphrases
- anomaly detection
- background subtraction
- convolutional neural network
- surveillance system
- video surveillance
- traffic monitoring
- behavior analysis
- object detection
- face detection
- moving objects
- detecting anomalies
- intrusion detection
- motion detection
- foreground objects
- background model
- image sequences
- gaussian mixture model
- network intrusion detection
- anomalous behavior
- network traffic
- moving object detection
- detect anomalies
- background image
- intrusion detection system
- appearance model
- post processing
- computer vision
- one class support vector machines
- surveillance videos
- unsupervised learning
- negative selection algorithm
- machine learning
- state space
- feature space
- normal behavior
- support vector machine
- object recognition
- similarity measure