Multi-Granularity Tracking with Modularlized Components for Unsupervised Vehicles Anomaly Detection.
Yingying LiJie WuXue BaiXipeng YangXiao TanGuanbin LiShilei WenHongwu ZhangErrui DingPublished in: CVPR Workshops (2020)
Keyphrases
- anomaly detection
- multi granularity
- unsupervised anomaly detection
- unsupervised learning
- behavior analysis
- intrusion detection
- real time
- network traffic
- detecting anomalies
- anomalous behavior
- multi user
- network intrusion detection
- dynamic integration
- semi supervised
- network anomaly detection
- network security
- one class support vector machines
- intrusion detection system
- supervised learning
- detect anomalies
- data sets
- normal behavior
- pairwise
- support vector machine
- situation assessment
- computer vision
- decision trees
- machine learning
- kalman filter
- data fusion