Model-based tracking of self-occluding articulated objects

James M. Rehg; Takeo Kanade

Model-based tracking of self-occluding articulated objects

James M. Rehg
, Takeo Kanade

Research output: Contribution to conference › Paper › peer-review

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)
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
City	Cambridge, MA, USA
Period	6/20/95 → 6/23/95

ASJC Scopus subject areas

General Engineering

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@conference{687f6f51ed3c4cccbea691fdf237463f,

title = "Model-based tracking of self-occluding articulated objects",

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.",

author = "Rehg, \{James M.\} and Takeo Kanade",

year = "1995",

language = "English (US)",

pages = "612--617",

note = "Proceedings of the 5th International Conference on Computer Vision ; Conference date: 20-06-1995 Through 23-06-1995",

}

TY - CONF

T1 - Model-based tracking of self-occluding articulated objects

AU - Rehg, James M.

AU - Kanade, Takeo

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0029226183

UR - https://www.scopus.com/pages/publications/0029226183#tab=citedBy

M3 - Paper

AN - SCOPUS:0029226183

SP - 612

EP - 617

T2 - Proceedings of the 5th International Conference on Computer Vision

Y2 - 20 June 1995 through 23 June 1995

ER -

Model-based tracking of self-occluding articulated objects

Abstract

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ASJC Scopus subject areas

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