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» Learning Image Statistics for Bayesian Tracking
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ICCV
2001
IEEE
14 years 7 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
PAMI
2006
243views more  PAMI 2006»
13 years 5 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers
CVPR
2008
IEEE
14 years 7 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
CVPR
1998
IEEE
14 years 7 months ago
A Statistical Framework for Long-Range Feature Matching in Uncalibrated Image Mosaicing
The problem considered in this paper is that of estimating the projective transformation between two images in situations where the image motion is large and featurematching is no...
Tat-Jen Cham, Roberto Cipolla
CVPR
2004
IEEE
14 years 7 months ago
Object-Based Image Retrieval Using the Statistical Structure of Images
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
Derek Hoiem, Rahul Sukthankar, Henry Schneiderman,...