Object detection in quantized feature space.
Christopher BullaBhomik LuthraNingqing QianPublished in: ICCE-Berlin (2014)
Keyphrases
- object detection
- feature space
- feature vectors
- dimensionality reduction
- scene understanding
- high dimensional
- face detection
- computer vision
- mean shift
- classification accuracy
- object class
- pedestrian detection
- input space
- multi class
- object classification
- scene recognition
- image representation
- object categories
- human detection
- kernel function
- feature extraction
- principal component analysis
- object recognition
- dissimilarity measure
- training samples
- deformable part models
- dot product
- feature selection
- dct coefficients
- hyperplane
- high dimensionality
- linear discriminant analysis
- input data
- data points
- support vector machine
- object segmentation
- gaussian mixture model
- feature set
- image parsing
- image retrieval
- training set
- support vector
- coding scheme
- high dimensional feature space
- machine learning