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» Smart particle filtering for high-dimensional tracking
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ICCV
2001
IEEE
14 years 6 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet
ECCV
2006
Springer
13 years 8 months ago
A Rao-Blackwellized Parts-Constellation Tracker
We present a method for efficiently tracking objects represented as constellations of parts by integrating out the shape of the model. Parts-based models have been successfully ap...
Grant Schindler, Frank Dellaert
CVPR
2004
IEEE
14 years 6 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
CLEAR
2007
Springer
211views Biometrics» more  CLEAR 2007»
13 years 10 months ago
An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms
This paper presents a visual particle filter for tracking a variable number of humans interacting in indoor environments, using multiple cameras. It is built upon a 3-dimensional,...
Oswald Lanz, Paul Chippendale, Roberto Brunelli
AVSS
2007
IEEE
13 years 4 months ago
A particle filter based fusion framework for video-radio tracking in smart spaces
One of the main issues for Ambient Intelligence (AmI) systems is to continuously localize the user and to detect his/her identity in order to provide dedicated services. A video-r...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...