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» Learning Switching Linear Models of Human Motion
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ICANN
2005
Springer
14 years 1 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
IROS
2009
IEEE
138views Robotics» more  IROS 2009»
14 years 2 months ago
Using eigenposes for lossless periodic human motion imitation
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
Rawichote Chalodhorn, Rajesh P. N. Rao
CVPR
2007
IEEE
14 years 10 months ago
Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression
We address the problem of estimating human pose in video sequences, where rough location has been determined. We exploit both appearance and motion information by defining suitabl...
Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soat...
IROS
2009
IEEE
121views Robotics» more  IROS 2009»
14 years 2 months ago
Understanding of positioning skill based on feedforward / feedback switched dynamical model
— To realize the harmonious cooperation with the operator, the man-machine cooperative system must be designed so as to accommodate with the characteristics of the operator’s s...
Hiroyuki Okuda, Hidenori Takeuchi, Shinkichi Inaga...
IJVR
2006
199views more  IJVR 2006»
13 years 7 months ago
Interactive Virtual Humans in Real-Time Virtual Environments
In this paper, we will present an overview of existing research in the vast area of IVH systems. We will also present our ongoing work on improving the expressive capabilities of I...
Nadia Magnenat-Thalmann, Arjan Egges