A Bayesian formulation for 3D articulated upper body segmentation and tracking from dense disparity maps.
Robert D. CavinAra V. NefianN. GoelPublished in: ICIP (2) (2003)
Keyphrases
- upper body
- bayesian formulation
- bayesian framework
- human pose estimation
- gesture recognition
- segmentation algorithm
- pose estimation
- level set
- human motion
- probability density function
- body parts
- human body
- shape prior
- image segmentation
- posterior probability
- stereo matching
- object segmentation
- segmentation method
- bayesian networks
- background subtraction
- stereo vision
- generative model
- semi supervised
- d objects