Motion detection by eigen-projections from incremental subspace learning.
José Portillo-PortilloHéctor Pérez-MeanaGabriel Sanchez-PerezKarina Toscano-MedinaMariko Nakano-MiyatakeVictor Sanchez-SilvaPublished in: TSP (2017)
Keyphrases
- motion detection
- subspace learning
- subspace learning algorithm
- principal component analysis
- dimensionality reduction
- detection algorithm
- background modeling
- image sequences
- video surveillance
- background subtraction
- motion estimation
- data representation
- face recognition
- low dimensional
- incremental principal component analysis
- manifold learning
- sparse representation
- object tracking
- semi supervised
- high dimensional data
- surveillance system
- three dimensional
- learning algorithm
- sparse coding
- moving objects
- spectral clustering
- flow field
- preprocessing
- background model
- image processing
- feature selection
- computer vision