Deep Reinforcement Learning for Subpixel Neural Tracking.
Tianhong DaiMagda DuboisKai ArulkumaranJonathan CampbellCher BassBenjamin BillotFatmatülzehra UsluVincenzo De PaolaClaudia ClopathAnil Anthony BharathPublished in: MIDL (2019)
Keyphrases
- reinforcement learning
- neural network
- fitted q iteration
- particle filter
- function approximation
- optical flow
- real time
- state space
- visual tracking
- reinforcement learning algorithms
- network architecture
- multi agent
- mean shift
- object tracking
- motion model
- markov decision processes
- kalman filter
- motion analysis
- particle filtering
- temporal difference
- moving target
- motion segmentation
- model free
- optimal control
- supervised learning
- optimal policy