Login / Signup
The Impact of Mini-batch Design on EEG Classification in Anomaly Detection for Video Surveillance.
Sungu Nam
Sang Jin Jang
Youngjo Song
Byunghyuk Choi
Jaehyun Kim
Jaeseung Jeong
Published 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