The Impact of Mini-batch Design on EEG Classification in Anomaly Detection for Video Surveillance.
Sungu NamSang Jin JangYoungjo SongByunghyuk ChoiJaehyun KimJaeseung JeongPublished in: BCI (2024)
Keyphrases
- anomaly detection
- video surveillance
- intrusion detection
- anomalous behavior
- network anomaly detection
- computer vision
- detecting anomalies
- surveillance system
- eeg signals
- moving objects
- machine learning
- network intrusion detection
- background subtraction
- object tracking
- unsupervised learning
- support vector
- image classification
- network traffic
- pattern recognition
- behavior analysis
- smoke detection
- event detection
- model selection
- support vector machine
- feature vectors
- image sequences
- detect anomalies
- image processing
- data sets