Unsupervised video anomaly detection via normalizing flows with implicit latent features.
MyeongAh ChoTaeoh KimWoo Jin KimSuhwan ChoSangyoun LeePublished in: Pattern Recognit. (2022)
Keyphrases
- anomaly detection
- intrusion detection
- unsupervised anomaly detection
- detecting anomalies
- anomalous behavior
- novelty detection
- unsupervised learning
- intrusion detection system
- network intrusion detection
- behavior analysis
- one class support vector machines
- detect anomalies
- feature space
- feature extraction
- network anomaly detection
- detecting anomalous
- network security
- network traffic
- key frames
- computer security
- video data
- network intrusion
- feature vectors
- video sequences
- sparse pca
- neural network
- malware detection
- text mining
- supervised learning
- semi supervised
- connectionist systems
- cumulative sum
- computer vision