Falling and slipping detection for pedestrians using a manifold learning approach.
Sheng-Bin HsuChin-Chuan HanCheng-Ta HsiehKuo-Chin FanPublished in: ICMLC (2013)
Keyphrases
- manifold learning
- object detection
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- diffusion maps
- dimension reduction
- subspace learning
- high dimensional data
- semi supervised
- laplacian eigenmaps
- locality preserving
- high dimensional
- manifold structure
- head pose estimation
- computer vision
- feature space
- pattern recognition
- manifold embedding
- manifold learning algorithm
- sparse representation
- object recognition
- embedding space
- pairwise
- feature extraction