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» Novel Observation Model for Probabilistic Object Tracking
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ICML
2007
IEEE
14 years 9 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
CVPR
2006
IEEE
14 years 3 months ago
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
We introduce the term cosegmentation which denotes the task of segmenting simultaneously the common parts of an image pair. A generative model for cosegmentation is presented. Inf...
Carsten Rother, Thomas P. Minka, Andrew Blake, Vla...
ICAPR
2009
Springer
13 years 6 months ago
Online Improved Eigen Tracking
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...
Subarna Tripathi, Santanu Chaudhury, Sumantra Dutt...
ICCV
1999
IEEE
14 years 1 months ago
A Subset Approach to Contour Tracking in Clutter
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of ...
Daniel Freedman, Michael S. Brandstein
IJCV
2000
97views more  IJCV 2000»
13 years 8 months ago
Contour Tracking in Clutter: A Subset Approach
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of c...
Daniel Freedman, Michael S. Brandstein