Tracking Articulated Hand Underlying Graphical Model with Depth Cue
Tracking Articulated Hand Underlying Graphical Model with Depth Cue
- New search for: Liu, Tangli
- New search for: Liang, Wei
- New search for: Wu, Xinxiao
- New search for: Chen, Lei
- New search for: Liu, Tangli
- New search for: Liang, Wei
- New search for: Wu, Xinxiao
- New search for: Chen, Lei
Visual tracking of articulated objects in real 3D space is challenging with applications in advanced human–computer interfaces and gesture semantic understanding. In this paper, graphical model, constructing articulated human hand, and NBP algorithm embedded with CAMSHIFT, inferencing hand configuration in 3D space, are applied for visual hand tracking. We also introduce image depth cue captured by two calibrated cameras together with color and edge as observation model. Depth cue allows our method to track human hand incomparatively accurate distance from cameras, especially in cluttered scenes with objects of similar color or edge. All those image cues are converted necessarily to probability distribution applied for the graphical model frame. The proposed method promotes the tracking efficiency and robustness proved by experiments and theory analysis.
Document information
Tracking Articulated Hand Underlying Graphical Model with Depth Cue
2008 Congress on Image and Signal Processing ; 4 ; 249-253
2008-05-01
530584 byte
Conference paper
Electronic Resource
English
Similar titles
Model-Based 3D Tracking of an Articulated Hand
| British Library Conference Proceedings | 2001
Model-based 3D tracking of an articulated hand
| IEEE | 2001
Model-based articulated hand motion tracking for gesture recognition
| British Library Online Contents | 1998
Tracking Articulated Hand Motion with Eigen Dynamics Analysis
| British Library Conference Proceedings | 2003