365 search results - page 8 / 73 » Visual Tracking Using Learned Linear Subspaces |
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
BVAI
2007
Springer
15 years 3 months ago
2007
Springer
In real life, visual learning is supposed to be a continuous process. Humans have an innate facility to recognize objects even under less-than-ideal conditions and to build robust ...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
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NIPS
2000
14 years 10 months ago
2000
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...