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FGR
2004
IEEE
105views Biometrics» more  FGR 2004»
13 years 8 months ago
Particle Filtering with Factorized Likelihoods for Tracking Facial Features
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
Ioannis Patras, Maja Pantic
3DPVT
2006
IEEE
199views Visualization» more  3DPVT 2006»
13 years 10 months ago
Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision
This paper describes a non-intrusive method to estimate the gaze direction of a person by using stereo cameras. First, facial features are tracked with an adapted particle filter...
Erik Pogalin, André Redert, Ioannis Patras,...
VMV
2008
168views Visualization» more  VMV 2008»
13 years 5 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
ICIP
2007
IEEE
14 years 6 months ago
Multicues 2D Articulated Pose Tracking using Particle Filtering and Belief Propagation on Factor Graphs
This paper describes a method for articulated upper body tracking in monocular scenes. The compatibility between model and the image is estimated using one particle filter for eac...
Philippe Noriega, Olivier Bernier
IPSN
2004
Springer
13 years 9 months ago
Distributed particle filters for sensor networks
Abstract. This paper describes two methodologies for performing distributed particle filtering in a sensor network. It considers the scenario in which a set of sensor nodes make m...
Mark Coates