Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery.
Yona Falinie A. GausNeelanjan BhowmikBrian K. S. Isaac-MedinaHubert P. H. ShumAmir Atapour-AbarghoueiToby P. BreckonPublished in: CVPR Workshops (2023)
Keyphrases
- anomaly detection
- infrared
- electro optical
- multi sensor
- behavior analysis
- infrared camera
- intrusion detection
- detecting anomalies
- infrared images
- night vision
- anomalous behavior
- network traffic
- network intrusion detection
- visible light
- intrusion detection system
- one class support vector machines
- short wave
- target detection
- visible spectrum
- hyperspectral
- high resolution
- infrared imagery
- image segmentation
- unsupervised learning
- multi camera
- computer vision
- optical flow
- infrared video
- network anomaly detection
- target detection and tracking
- thermal infrared
- data mining
- thermal imaging
- negative selection algorithm
- feature space
- surveillance system
- focal plane