Efficient, event-driven feature extraction and unsupervised object tracking for embedded applications.
Jonah P. SenguptaMartin VillemurAndreas G. AndreouPublished in: CISS (2021)
Keyphrases
- object tracking
- event driven
- feature extraction
- particle filter
- image sequences
- mean shift
- video surveillance
- computer vision
- video sequences
- moving objects
- appearance model
- kalman filter
- pattern recognition
- scene segmentation
- tracking accuracy
- visual tracking
- appearance modeling
- visual object tracking
- feature selection
- particle filtering
- multiple object tracking
- video surveillance systems
- robust object tracking
- image processing
- reinforcement learning
- sparse representation
- higher order
- multiple cameras
- real time
- principal component analysis
- image features
- information delivery
- high dimensional
- object recognition