FOAD: a novel video anomaly detection focusing on objects.
Hongjun LiJinyi ChenXiezhou HuangYuxing ZhangYunlong DuJunjie ChenPublished in: Multim. Tools Appl. (2024)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- network traffic
- network intrusion detection
- anomalous behavior
- computer security
- behavior analysis
- unsupervised anomaly detection
- video data
- intrusion detection system
- detecting anomalous
- unsupervised learning
- video sequences
- machine learning
- network anomaly detection
- data sets
- computer vision
- neural network
- one class support vector machines
- pairwise
- video surveillance
- network security
- feature space