Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks.
Youngbin ParkSungphill MoonIl Hong SuhPublished in: CoRR (2016)
Keyphrases
- recurrent neural networks
- motion model
- motion analysis
- motion tracking
- motion segmentation
- robust tracking
- motion detection
- tracking multiple
- neural network
- articulated body
- motion estimation
- real time tracking
- image sequences
- moving target
- tracking framework
- feed forward
- recurrent networks
- optical flow
- deformable objects
- artificial neural networks
- reservoir computing
- hand motion
- motion field
- temporal continuity
- object motion
- beating heart
- cascade correlation
- object tracking
- particle filter
- extended kalman filters
- real time
- rigid objects
- color based tracking
- moving objects
- echo state networks
- articulated objects
- space time
- wide area motion imagery
- feedforward neural networks
- appearance model
- neural model
- motion patterns
- degrees of freedom
- visual tracking
- nonlinear dynamic systems
- human body
- biologically inspired
- kalman filter
- expert systems
- artificial intelligence
- machine learning