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  Model-based tracking of self-occluding articulated objects (1995) [180 citations — 4 self]

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by James M. Rehg, Takeo Kanade
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http://www-dev.ri.cmu.edu:8080/pub_files/pub1/rehg_jim_1995_1/rehg_jim_1995_1.ps.gz
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Abstract:

Computer sensing of hand and limb motion is an important problem for applications in humancomputer 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. 1

Citations

175 Recovery of nonrigid motion and structure – Pentland, Horowitz - 1991
172 Model-based vision: A program to see a walking person – Hogg - 1983
154 Shape and nonrigid motion estimation through physics-based synthesis – Metaxas, Terzopoulos - 1993
139 Layered representation for motion analysis – Wang, Adelson - 1993
135 Visual tracking of high DOF articulated structures: An application to human hand tracking – Rehg, Kanade - 1994
109 Model-based image analysis of human motion using constraint propagation – O’Rourke, Badler - 1980
90 Robust estimation of a multi-layered motion representation – Darrell, Pentland - 1991
44 DigitEyes: Vision-Based Hand Tracking for Human-Computer Interaction – Rehg, Kanade - 1994
44 Camera calibration without feature extraction.”, Computer Vision – Robert - 1995
41 Human motion analysis based on a robot arm model – Yamamoto, Koshikawa - 1991
39 The 2.ld sketch – Nitzberg, Mumford - 1990
27 Visual Tracking with Deformation Models – Rehg, Witkin - 1991
23 Layered representation for image coding – Adelson - 1991
17 shape identification and tracking for sign language interpretation – Hand - 1993
10 Visual tracking of self-occluding articulated objects – Rehg, Kanade - 1994
9 shape identi cation and tracking for sign language interpretation – Hand - 1993
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