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» Physical simulation for probabilistic motion tracking
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CVPR
2008
IEEE
14 years 6 months ago
Physical simulation for probabilistic motion tracking
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
HRI
2006
ACM
13 years 10 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
HUMO
2007
Springer
13 years 8 months ago
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking
In this paper, we present a 3D registration algorithm based on simulated physical force/moment for articulated human motion tracking. Provided with sparsely reconstructed 3D human ...
Bingbing Ni, Stefan Winkler, Ashraf A. Kassim
ICRA
2006
IEEE
121views Robotics» more  ICRA 2006»
13 years 10 months ago
Multi-model Tracking using Team Actuation Models
Abstract— Robots need to track object. Object tracking efficiency completely depends on the accuracy of the motion model and of the sensory information. Interestingly, when mult...
Yang Gu, Manuela M. Veloso
FGR
1998
IEEE
110views Biometrics» more  FGR 1998»
13 years 8 months ago
Dynamic Models of Human Motion
This paper describes experiments in human motion understanding, defined here as estimation of the physical state of the body (the Plant) combined with interpretation of that part ...
Christopher Richard Wren, Alex Pentland