End-to-end Active Object Tracking via Reinforcement Learning.
Wenhan LuoPeng SunYadong MuWei LiuPublished in: CoRR (2017)
Keyphrases
- end to end
- object tracking
- reinforcement learning
- particle filter
- video sequences
- mean shift
- image sequences
- appearance modeling
- computer vision
- moving objects
- state space
- multiple object tracking
- visual tracking
- appearance model
- particle filtering
- multiple cameras
- congestion control
- video surveillance
- admission control
- sparse representation
- partial occlusion
- multi camera
- tracking objects
- robust object tracking
- dynamic programming
- optical flow
- pattern recognition
- machine learning
- object tracking algorithm
- action selection
- three dimensional
- neural network