Change Detection for Video Sequences Based on Incremental Subspace Learning.
José Portillo-PortilloBlas Hernandez-SanabriaHéctor Pérez-MeanaGabriel Sanchez-PerezKarina Toscano-MedinaJesus Olivares-MercadoMariko Nakano-MiyatakeLuis Carlos Castro-MadridVictor Sanchez-SilvaPublished in: SoMeT (2018)
Keyphrases
- change detection
- subspace learning
- subspace learning algorithm
- video sequences
- dimensionality reduction
- remote sensing
- incremental principal component analysis
- remote sensing images
- data representation
- data streams
- manifold learning
- learning algorithm
- object tracking
- appearance modeling
- face recognition
- low dimensional
- satellite images
- motion estimation
- video data
- visual tracking
- image registration
- principal component analysis
- high dimensional data
- computer simulation
- semi supervised
- sparse representation
- shot change detection
- gamma distributions
- land cover
- moving objects
- high dimensional
- image analysis
- pattern recognition
- multiscale
- sparse coding
- feature extraction
- image sequences
- video frames
- motion vectors
- computer vision