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PAMI
2010
238views more  PAMI 2010»
13 years 5 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
ICIP
2000
IEEE
14 years 9 months ago
Mean Shift and Optimal Prediction for Efficient Object Tracking
A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the targe...
Dorin Comaniciu, Visvanathan Ramesh
CA
1998
IEEE
13 years 11 months ago
Active Voodoo Dolls: A Vision Based Input Device for Nonrigid Control
A vision based technique for nonrigid control is presented that can be used for animation and video game applications. The user grasps a soft, squishable object in front of a came...
John Isidoro, Stan Sclaroff
CVPR
2006
IEEE
14 years 9 months ago
Tunable Kernels for Tracking
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The cl...
Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghla...
ICRA
2002
IEEE
144views Robotics» more  ICRA 2002»
14 years 12 days ago
Sensing Nanonewton Level Forces by Visually Tracking Structural Deformations
When assembling MEMS devices or manipulating biological cells it is often beneficial to have information about the force that is being applied to these objects. This force informa...
Michael A. Greminger, Ge Yang, Bradley J. Nelson