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 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 language | English (US) |
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Pages | 612-617 |
Number of pages | 6 |
State | Published - 1995 |
Externally published | Yes |
Event | Proceedings of the 5th International Conference on Computer Vision - Cambridge, MA, USA Duration: Jun 20 1995 → Jun 23 1995 |
Other
Other | Proceedings of the 5th International Conference on Computer Vision |
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City | Cambridge, MA, USA |
Period | 6/20/95 → 6/23/95 |
ASJC Scopus subject areas
- Engineering(all)