Improving Human Motion Classification by Applying Bagging and Symmetry to PCA-Based Features.
Tomasz HachajPublished in: Symmetry (2019)
Keyphrases
- human motion
- classification accuracy
- feature vectors
- feature extraction
- feature set
- feature space
- classification models
- decision trees
- decision tree classifiers
- principle component analysis
- machine learning
- classification method
- svm classifier
- human body
- human movements
- feature subset
- benchmark datasets
- spatio temporal
- training set
- video sequences
- feature selection
- body parts
- motion capture
- ensemble classifier
- class labels
- text classification
- motion recognition
- human motion tracking
- optical motion capture
- articulated motion
- motion sequences
- feature analysis
- dimension reduction
- image features
- image sequences
- human actions
- computer graphics
- object recognition
- human body parts