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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
FGR
1998
IEEE
110views Biometrics» more  FGR 1998»
13 years 10 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
ICPR
2002
IEEE
14 years 7 months ago
3D Real-Time Head Tracking Fusing Color Histograms and Stereovision
A system that performs the tracking of a human head in 3D in real time is presented. The head shape is modeled by an ellipse with a trained color histogram of skin and hair sample...
Francesc Moreno, Adrià Tarrida, Juan Andrad...
ECCV
2002
Springer
14 years 8 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
14 years 17 days ago
Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot
— In an effort to ease the burden of programming motor commands for humanoid robots, a computer vision technique is developed for converting a monocular video sequence of human p...
Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao