A real time expert system for anomaly detection of aerators based on computer vision and surveillance cameras.
Yeqi LiuHuiHui YuChuanyang GongYingyi ChenPublished in: J. Vis. Commun. Image Represent. (2020)
Keyphrases
- anomaly detection
- surveillance cameras
- computer vision
- video surveillance
- visual surveillance
- multiple cameras
- intrusion detection
- video data
- surveillance system
- motion detection
- anomalous behavior
- object tracking
- low resolution
- network traffic
- network intrusion detection
- camera calibration
- poor quality
- detecting anomalies
- activity recognition
- surveillance videos
- pattern recognition
- object recognition
- image processing
- weather conditions
- object detection
- pose estimation
- one class support vector machines
- background subtraction
- intrusion detection system
- action recognition
- human activities
- moving objects
- data mining
- image sequences
- detect anomalies
- multi class
- video sequences
- image segmentation