Distributed Personalized Gradient Tracking with Convex Parametric Models.
Ivano NotarnicolaAndrea SimonettoFrancesco FarinaGiuseppe NotarstefanoPublished in: CoRR (2020)
Keyphrases
- parametric models
- camera network
- distributed systems
- kalman filter
- real time
- convex optimization
- visual tracking
- multi agent
- peer to peer
- flow field
- imaging artifacts
- appearance model
- edge detection
- e learning
- piecewise constant
- gradient method
- motion model
- motion segmentation
- ultrasound images
- mean shift
- image quality
- dynamic programming
- video sequences
- image sequences
- image segmentation
- feature selection