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Fifth International Conference on Computer Vision (ICCV'95)
Model-based tracking of self-occluding articulated objects
Massachusetts Institute of Technology, Cambridge, Massachusetts
June 20-June 23
ISBN: 0-8186-7042-8
J.M. Rehg, Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
T. Kanade, Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
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.
Index Terms:
motion estimation; computer graphics; user interfaces; kinematics; model based tracking; self occluding articulated objects; computer sensing; limb motion; human computer interaction; computer graphics; local trading; self occluding motion; kinematic model; occlusions; windowed templates; partially occluded objects; offline 3D tracking results; model-based tracking; self-occluding articulated objects
Citation:
J.M. Rehg, T. Kanade, "Model-based tracking of self-occluding articulated objects," iccv, pp.612, Fifth International Conference on Computer Vision (ICCV'95), 1995
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