Unsupervised classification and visual representation of situations in surveillance videos using slow feature analysis for situation retrieval applications.
Frank PagelPublished in: Video Surveillance and Transportation Imaging Applications (2015)
Keyphrases
- visual representation
- unsupervised classification
- surveillance videos
- object classification
- supervised classification
- unsupervised learning
- multi camera
- video data
- clustering ensemble
- data clustering
- remote sensing data
- user interface
- event detection
- object tracking
- retrieval systems
- video surveillance
- video sequences
- real time
- hyperspectral images
- surveillance system
- remote sensing images
- image data
- human activities
- video database
- video analysis
- human computer interaction
- image retrieval
- video retrieval
- high dimensional
- image processing
- computer vision