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ICASSP
2010
IEEE
13 years 8 months ago
An efficient particle filtering technique on the Grassmann manifold
Subspace tracking methods are widespread in signal and image processing. To reduce the influence of perturbations or outliers on the measurements, some authors have used a stocha...
Quentin Rentmeesters, Pierre-Antoine Absil, Paul V...
ICIP
2007
IEEE
14 years 9 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
ICIP
2009
IEEE
14 years 9 months ago
M2sir: A Multi Modal Sequential Importance Resampling Algorithm For Particle Filters
We present a multi modal sequential importance resampling particle filter algorithm for object tracking. We consider a hidden state sequence linked to several observation sequence...
ECCV
2004
Springer
14 years 9 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
14 years 2 months ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...