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» How can human motion prediction increase transparency
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CVPR
2007
IEEE
14 years 8 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
MIG
2009
Springer
14 years 27 days ago
Exploiting Motion Capture to Enhance Avoidance Behaviour in Games
Abstract. Realistic simulation of interacting virtual characters is essential in computer games, training and simulation applications. The problem is very challenging since people ...
Ben J. H. van Basten, Sander E. M. Jansen, Ioannis...
CGF
2005
107views more  CGF 2005»
13 years 6 months ago
Predictive Feedback for Interactive Control of Physics-based Characters
Interactive control of a physically simulated character is a challenging problem, due both to the complexity of controlling multiple degrees of freedom with lower dimensional inpu...
Joe Laszlo, Michael Neff, Karan Singh
BMVC
2002
13 years 8 months ago
Tightly Integrated Sensor Fusion for Robust Visual Tracking
This paper presents novel methods for increasing the robustness of visual tracking systems by incorporating information from inertial sensors. We show that more can be achieved th...
Georg S. W. Klein, Tom Drummond
SIGCSE
2004
ACM
82views Education» more  SIGCSE 2004»
13 years 11 months ago
Handwritten slides on a tabletPC in a discrete mathematics course
There are a wide variety of ways to present information at the front of a classroom. These include chalk on a blackboard, markers on a whiteboard, pens on transparencies, and comp...
Evan Golub