Sparse representation of local spatial-temporal features with dimensionality reduction for motion recognition.
Jin WangXiangping SunPing LiuMary Fenghua SheLingxue KongPublished in: Neurocomputing (2013)
Keyphrases
- sparse representation
- dimensionality reduction
- motion recognition
- high dimensional data
- dictionary learning
- sparse coding
- random projections
- high dimensional
- spatio temporal
- subspace learning
- data representation
- human motion
- high dimensionality
- compressive sensing
- pattern recognition
- feature extraction
- feature selection
- principal component analysis
- low dimensional
- image patches
- human actions
- data points
- face recognition
- image classification
- manifold learning
- feature space
- unsupervised learning
- joint optimization
- motion patterns
- spatial information
- data sets
- object tracking
- object recognition
- space time
- probabilistic model