An adaptable system for RGB-D based human body detection and pose estimation
Does not require pre-processing by background subtraction and no initialization poses. Online learned appearance model combining color with depth-based labeling. Works in clutter and with body part occlusions because of underlying kinematic model. RDF training, data generation and cluster-based learning, that enables retraining.
real-time body part recognition joint locations pose detection rgb-d data person detection random decision forest open source motion capture