Visual analysis of high DOF articulated objects with application to hand tracking
Visual analysis of high DOF articulated objects with application to hand tracking
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
SATIRE: a software architecture for smart AtTIRE
Proceedings of the 4th international conference on Mobile systems, applications and services
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Visual hand gesture based interfaces have been widely used for navigation of virtual environments (VE) and control of a robot arm in robotic systems. In fact, hand movement has abundant powers of expression with complex finger joint motions. In this paper, full-degree-of-freedom (DOF) hand motion is captured in a vision-based mode. It makes human-robot-interaction more intuitive and control of dexterous hand feasible. However, hand motion capture is a high dimensional search problem with serious ambiguity. A learning integrating with optimization approach in 3-D model based framework is introduced for pose estimation and a motion-tracking scheme with GA-based particle filter (PF) is described as a solution of high-dimensional and multi-modal search problem. Test experiment results show strong capabilities of such a hand motion capture system, especially in deal with high dimensional search problem.