Efficient Pedestrian Detection in the Low Resolution via Sparse Representation with Sparse Support Regression.
Wenhua FangJun ChenRuimin HuPublished in: PAKDD (2) (2017)
Keyphrases
- sparse representation
- low resolution
- pedestrian detection
- image super resolution
- dictionary learning
- image patches
- single image super resolution
- sparse coding
- high resolution
- super resolution
- human body
- compressive sensing
- face recognition
- face images
- test images
- object detection
- random projections
- image classification
- low resolution images
- object tracking
- dimensionality reduction
- high dimensional data
- image representation
- occlusion handling
- high quality
- image reconstruction
- natural images
- signal processing
- sparse coefficients
- regression model
- motion estimation
- high dimensional
- feature space
- object recognition
- support vector