Support vector regression for multi-view gait recognition based on local motion feature selection.
Worapan KusakunniranQiang WuJian ZhangHongdong LiPublished in: CVPR (2010)
Keyphrases
- multi view
- support vector regression
- gait recognition
- human motion
- support vector classification
- feature selection
- motion capture
- support vector
- single view
- support vector machine
- multiple views
- depth map
- image sequences
- kernel function
- regression model
- human body
- d objects
- machine learning
- multiple cameras
- background subtraction
- motion estimation
- spatio temporal
- video sequences
- camera motion
- support vector machine svm
- motion analysis
- text classification
- three dimensional
- dimensionality reduction
- principal component analysis
- semi supervised
- motion tracking
- human actions
- humanoid robot
- depth video
- high dimensionality
- knn
- classification accuracy
- feature space
- pose estimation
- post processing
- depth information
- feature set
- object detection
- nearest neighbor
- multi class
- markerless
- training data
- feature extraction