Object Detection Based on Sparse Representation of Foreground.
Zhenyue ZhuShujing LyuXiao TuYue LuPublished in: ICPRAI (2020)
Keyphrases
- sparse representation
- object detection
- background subtraction
- dictionary learning
- foreground objects
- sparse coding
- image classification
- face recognition
- negative matrix factorization
- object segmentation
- compressed sensing
- computer vision
- image representation
- random projections
- human detection
- high dimensional data
- compressive sensing
- object recognition
- pedestrian detection
- image patches
- object tracking
- multi class
- object categories
- regularized least squares
- moving objects
- joint optimization
- signal processing
- multiscale
- subspace learning
- sparsity constraints
- sparse approximations
- dimensionality reduction
- bounding box
- data sets
- image processing
- image sequences
- pattern recognition
- test images
- sparse reconstruction
- sparse coefficients
- natural images