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

fYear

1995

fDate

20-23 Jun 1995

Firstpage

612

Lastpage

617

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1995. Proceedings., Fifth International Conference on

Conference_Location

Cambridge, MA

Print_ISBN

0-8186-7042-8

Type

conf

DOI

10.1109/ICCV.1995.466882

Filename

466882