Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs.
Johnathan ChiuPublished in: CoRR (2022)
Keyphrases
- high dimensional
- image sequences
- low dimensional
- motion analysis
- motion tracking
- space time
- motion estimation
- gaussian process latent variable models
- visual data
- motion model
- motion parameters
- human motion
- similarity search
- dimensionality reduction
- camera motion
- high dimensionality
- parameter space
- high dimensional data
- motion detection
- optical flow
- motion capture
- forward chaining
- moving objects
- input data
- variable selection
- spatio temporal
- ai planning