Hand detection in American Sign Language depth data using domain-driven random forest regression.
Zahoor ZafrullaHimanshu SahniAbdelkareem BedriPavleen ThukralThad StarnerPublished in: FG (2015)
Keyphrases
- random forest
- depth data
- gesture recognition
- random forests
- depth images
- sign language
- depth information
- hand gestures
- hand gesture recognition
- decision trees
- depth map
- feature set
- pose estimation
- range data
- color information
- ensemble methods
- pixel level
- background subtraction
- computer vision
- multi label
- complex background
- feature descriptors
- intensity images
- multiscale
- three dimensional
- feature selection