Title :
Singularity analysis for articulated object tracking
Author :
Morris, Daniel D. ; Rehg, James M.
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
We analyze the use of kinematic constraints for articulated object tracking. Conditions for the occurrence of singularities in 3-D models are presented and their effects on tracking are characterized We describe a novel 2-D Scaled Prismatic Model (SPM) for figure registration. In contrast to 3-D kinematic models, the SPM has fewer singularity problems and does not require detailed knowledge of the 3-D kinematics. We fully characterize the singularities in the SPM and illustrate tracking through singularities using synthetic and real examples with 3-D and 2-D models. Our results demonstrate the significant benefits of the SPM in tracking with a single source of video
Keywords :
computer vision; kinematics; object recognition; 3-D models; articulated object tracking; figure registration; kinematic constraints; scaled prismatic model; singularity analysis; Cameras; Cost function; Electrical capacitance tomography; Humans; Identity-based encryption; Kinematics; Robots; Scanning probe microscopy; State-space methods; Tracking;
Conference_Titel :
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8497-6
DOI :
10.1109/CVPR.1998.698622