Background Modeling Using Adaptive Pixelwise Kernel Variances in a Hybrid Feature Space.
Manjunath NarayanaAllen R. HansonErik G. Learned-MillerPublished in: CoRR (2015)
Keyphrases
- feature space
- background modeling
- pixel wise
- background subtraction
- background model
- foreground objects
- gaussian mixture model
- moving objects
- mean shift
- subspace learning
- video surveillance
- object tracking
- spatial information
- appearance model
- data points
- feature vectors
- dimensionality reduction
- pixel level
- high dimensional
- principal component analysis
- image sequences
- feature extraction
- frame rate
- sparse coding
- feature selection
- object detection
- moving camera
- support vector machine
- training set
- video sequences
- matching algorithm