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ICCV
2001
IEEE
14 years 9 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
ICIP
2007
IEEE
14 years 1 months ago
Energetic Particle Filter for Online Multiple Target Tracking
Online target tracking requires to solve two problems: data association and online dynamic estimation. Usually, association effectiveness is based on prior information and observa...
Abir El Abed, Séverine Dubuisson, Dominique...
MICCAI
2009
Springer
14 years 8 months ago
Actin Filament Tracking Based on Particle Filters and Stretching Open Active Contour Models
We introduce a novel algorithm for actin filament tracking and elongation measurement. Particle Filters (PF) and Stretching Open Active Contours (SOAC) work cooperatively to simpli...
Hongsheng Li, Tian Shen, Dimitrios Vavylonis, X...
VMV
2008
168views Visualization» more  VMV 2008»
13 years 8 months ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll
ICMI
2005
Springer
215views Biometrics» more  ICMI 2005»
14 years 16 days 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 ...