An efficient PCA based pose and occlusion invariant face recognition system for video surveillance.
A. Vivek YoganandA. Celine KavidaD. Rukmani DeviPublished in: Clust. Comput. (2019)
Keyphrases
- video surveillance
- cluttered background
- illumination variations
- pose variations
- object tracking
- surveillance system
- computer vision
- face images
- recognition algorithm
- background subtraction
- partial occlusion
- human pose
- pose and lighting
- motion detection
- multiple cameras
- moving objects
- human detection
- scene understanding
- principal component analysis
- smoke detection
- illumination normalization
- face recognition
- pose estimation
- event detection
- keypoints
- traffic monitoring
- face recognition systems
- appearance variations
- lighting conditions
- shadow detection
- surveillance videos
- feature extraction
- partially occluded
- illumination conditions
- foreground objects
- complex background
- human faces
- particle filter
- image segmentation
- image sequences
- appearance model
- object detection
- feature space
- facial features
- feature vectors
- d objects