基于PCA降维的多特征级联的行人检测 (Pedestrian Detection Based on PCA Dimension Reduction of Multi-feature Cascade).
Ling GanKuanzhong ZouXiao LiuPublished in: 计算机科学 (2016)
Keyphrases
- dimension reduction
- principal component analysis
- pedestrian detection
- multi feature
- feature extraction
- human body
- dimensionality reduction
- low dimensional
- random projections
- linear discriminant analysis
- histograms of oriented gradients
- high dimensional
- feature space
- discriminant analysis
- singular value decomposition
- partial least squares
- object detection
- face images
- manifold learning
- feature selection
- image classification
- cluster analysis
- face recognition
- high dimensionality
- high dimensional data
- support vector machine
- multi class
- preprocessing
- benchmark datasets
- pattern recognition
- feature points
- knn
- preprocessing step
- three dimensional
- principal components analysis
- least squares
- data mining