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» 3D Tracking by Catadioptric Vision Based on Particle Filters
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ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
13 years 10 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, ...
ECCV
2004
Springer
14 years 6 months ago
Stereo Based 3D Tracking and Scene Learning, Employing Particle Filtering within EM
Trausti T. Kristjansson, Hagai Attias, John R. Her...
ICPR
2006
IEEE
14 years 5 months ago
Tracking 3D Human Body using Particle Filter in Moving Monocular Camera
In this paper, we propose a method for human tracking using 3D human body model in a video sequence with a monocular moving camera. Tracking a human with unconstrained movement in...
Sungmin Kim, Chang-Beom Park, Seong-Whan Lee
AAAI
2008
13 years 6 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...
IROS
2009
IEEE
203views Robotics» more  IROS 2009»
13 years 11 months ago
3D model based pose estimation for omnidirectional stereovision
— Robot vision has a lot to win as well with wide field of view induced by catadioptric cameras as with redundancy brought by stereovision. Merging these two characteristics in ...
Guillaume Caron, Éric Marchand, El Mustapha...