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ICCV
2003
IEEE
14 years 6 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ICMI
2005
Springer
215views Biometrics» more  ICMI 2005»
13 years 10 months ago
Multimodal multispeaker probabilistic tracking in meetings
Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track th...
Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc ...
CVPR
2008
IEEE
14 years 6 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, ...
3DIM
2007
IEEE
13 years 11 months ago
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tr...
Markus Hahn, Lars Krüger, Christian Wöhl...