Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling.
He WangEdmond S. L. HoHubert P. H. ShumZhanxing ZhuPublished in: CoRR (2019)
Keyphrases
- manifold learning
- human motion
- spatio temporal
- manifold embedding
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- image sequences
- subspace learning
- body parts
- feature extraction
- high dimensional
- human body
- dimension reduction
- human actions
- high dimensional data
- space time
- data mining
- pattern recognition
- semi supervised
- video sequences
- preprocessing
- sparse representation
- neural network
- computer vision
- input image
- learning algorithm