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ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
14 years 11 months ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...
ISMAR
2003
IEEE
15 years 6 months ago
A Tracker Alignment Framework for Augmented Reality
To achieve accurate registration, the transformations which locate the tracking system components with respect to the environment must be known. These transformations relate the b...
Yohan Baillot, Simon Julier, Dennis Brown, Mark A....
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
15 years 7 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
ICRA
2010
IEEE
343views Robotics» more  ICRA 2010»
15 years 1 days ago
Hands in action: real-time 3D reconstruction of hands in interaction with objects
— This paper presents a method for vision based estimation of the pose of human hands in interaction with objects. Despite the fact that most robotics applications of human hand ...
Javier Romero, Hedvig Kjellström, Danica Krag...
AVSS
2006
IEEE
15 years 5 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks