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ICCV
2001
IEEE
15 years 11 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
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 3 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
IVC
2007
188views more  IVC 2007»
14 years 9 months ago
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant enviro
In this paper, we propose a new technique to perform figure-ground segmentation in image sequences of moving objects under varying illumination conditions. Unlike most of the alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
3DPVT
2002
IEEE
166views Visualization» more  3DPVT 2002»
15 years 2 months ago
Octree-based Fusion of Shape from Silhouette and Shape from Structured Light
An algorithm for the automatic construction of a 3d model of archaeological vessels using two different 3d algorithms is presented. In archeology the determination of the exact vo...
Martin Kampel, Srdan Tosovic, Robert Sablatnig
ICPR
2002
IEEE
15 years 2 months ago
Combining Shape from Silhouette and Shape from Structured Light for Volume Estimation of Archaeological Vessels
An algorithm for the automatic construction of a 3d model of archaeological vessels using two different 3d algorithms is presented. In archeology the determination of the exact vo...
Robert Sablatnig, Srdan Tosovic, Martin Kampel