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» Physical simulation for probabilistic motion tracking
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ICPR
2008
IEEE
14 years 21 days ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
ICPR
2008
IEEE
14 years 21 days ago
Markerless human motion capture: An application of simulated annealing and Fast Marching Method
Research into optical markerless human motion capture has attracted significant attention. However, the complexity of the human anatomy, ambiguities introduced by lacking full-pe...
Yifan Lu
FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
13 years 10 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...
ICPR
2008
IEEE
14 years 21 days ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
ICRA
2005
IEEE
130views Robotics» more  ICRA 2005»
13 years 12 months ago
Constraint-Based Motion Planning of Deformable Robots
Abstract— We present a novel algorithm for motion planning of a deformable robot in a static environment. Given the initial and final configuration of the robot, our algorithm ...
Russell Gayle, Ming C. Lin, Dinesh Manocha