Title :
Model-based tracking of self-occluding articulated objects
Author :
Rehg, James M. ; Kanade, Takeo
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Computer sensing of hand and limb motion is an important problem for applications in human computer interaction and computer graphics. We describe a framework for local trading of self occluding motion, in which one part of an object obstructs the visibility of another. Our approach uses a kinematic model to predict occlusions and windowed templates to track partially occluded objects. We present offline 3D tracking results for hand motion with significant self occlusion
Keywords :
computer graphics; kinematics; motion estimation; user interfaces; computer graphics; computer sensing; human computer interaction; kinematic model; limb motion; local trading; model based tracking; model-based tracking; occlusions; offline 3D tracking results; partially occluded objects; self occluding articulated objects; self occluding motion; self-occluding articulated objects; windowed templates; Application software; Cameras; Computer applications; Computer graphics; Fingers; Humans; Image sampling; Kinematics; Motion analysis; Tracking;
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
DOI :
10.1109/ICCV.1995.466882
