CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Tracking through Singularities and Discontinuities by Random Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Wormholes in Shape Space: Tracking through Discontinuous Changes in Shape
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Kinematic jump processes for monocular 3D human tracking
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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In this paper, we present a robust method to tackle the ambiguities in 3D arm tracking, especially those introduced by depth change (distance of the arm from the camera), and arm rotation about humerus (upper arm bone). In a particle filter framework, the arm joint angle configurations are monitored and the occurrences of the ambiguous arm movements are detected. Inverse kinematics is applied to transfer invalid joint angle configurations from unconstrained movement space into constrained space. Experimental results have demonstrated the efficacy of the proposed approach.