Partially-supervised learning from facial trajectories for face recognition in video surveillance.
Miguel De-la-TorreEric GrangerPaulo Vinicius Wolski RadtkeRobert SabourinDmitry O. GorodnichyPublished in: Inf. Fusion (2015)
Keyphrases
- video surveillance
- face recognition
- moving objects
- object trajectories
- face images
- computer vision
- facial images
- human faces
- facial expressions
- surveillance system
- background subtraction
- multiple cameras
- motion detection
- object tracking
- video sequences
- face detection
- facial expression recognition
- surveillance videos
- moving object detection
- event detection
- traffic monitoring
- pose variations
- image sequences
- principal component analysis
- smoke detection
- feature extraction
- face verification
- local binary pattern
- face databases
- sparse representation
- pedestrian tracking
- feature analysis
- face recognition systems
- expression recognition
- face recognition algorithms
- detection of moving objects
- illumination variations
- motion patterns
- facial features
- feature points
- robust face recognition
- low dimensional
- similarity measure