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» Gaussian Process Dynamical Models for Human Motion
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ECCV
2002
Springer
16 years 1 months ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black
IROS
2009
IEEE
116views Robotics» more  IROS 2009»
15 years 6 months ago
Stable whole-body motion generation for humanoid robots to imitate human motions
—This work presents a methodology to generate dynamically stable whole-body motions for a humanoid robot, which are converted from human motion capture data. The methodology cons...
Seungsu Kim, ChangHwan Kim, Bum-Jae You, Sangrok O...
HERCMA
2001
126views Mathematics» more  HERCMA 2001»
15 years 1 months ago
Why computerized models to control virtual Humans?
Interactive systems, games, VR and multimedia systems require more and more flexible Virtual Humans with individualities. There are mainly two approaches: 1) Recording the motion u...
Daniel Thalmann
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 6 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
JVCA
2010
94views more  JVCA 2010»
14 years 10 months ago
A hybrid approach for simulating human motion in constrained environments
We present a new algorithm to generate plausible motions for high-DOF human-like articulated figures in constrained environments with multiple obstacles. Our approach is general ...
Jia Pan, Liangjun Zhang, Ming C. Lin, Dinesh Manoc...