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» Variational Inference for Visual Tracking
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APVIS
2010
14 years 9 days ago
Motion track: Visualizing variations of human motion data
This paper proposes a novel visualization approach, which can depict the variations between different human motion data. This is achieved by representing the time dimension of eac...
Yueqi Hu, Shuangyuan Wu, Shihong Xia, Jinghua Fu, ...
CVPR
2008
IEEE
15 years 26 days ago
Modeling complex luminance variations for target tracking
Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
Éric Marchand, Christophe Collewet
BMCBI
2008
83views more  BMCBI 2008»
13 years 11 months ago
Models of deletion for visualizing bacterial variation: an application to tuberculosis spoligotypes
Background: Molecular typing methods are commonly used to study genetic relationships among bacterial isolates. Many of these methods have become standardized and produce portable...
Josephine F. Reyes, Andrew R. Francis, Mark M. Tan...
CVPR
2004
IEEE
15 years 26 days ago
Tracking Loose-Limbed People
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michae...
ECCV
2004
Springer
15 years 22 days ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang