Model-based tracking of self-occluding articulated objects

James M. Rehg, Takeo Kanade

Research output: Contribution to conferencePaperpeer-review


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 tracking 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 off-line 3D tracking results for hand motion with significant self-occlusion.

Original languageEnglish (US)
Number of pages6
StatePublished - 1995
Externally publishedYes
EventProceedings of the 5th International Conference on Computer Vision - Cambridge, MA, USA
Duration: Jun 20 1995Jun 23 1995


OtherProceedings of the 5th International Conference on Computer Vision
CityCambridge, MA, USA

ASJC Scopus subject areas

  • General Engineering


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