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» Gaussian Process Dynamical Models for Human Motion
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EWSPT
2000
Springer
15 years 3 months ago
Advanced Services for Process Evolution: Monitoring and Decision Support
Process support environments (PSEs) are widely used for modelling, enacting and analyzing human intensive processes. The benefits of a PSE become apparent when processes to be supp...
Ilham Alloui, Sami Beydeda, Sorana Cîmpan, V...
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
15 years 6 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
ICCV
2003
IEEE
16 years 1 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
KI
2010
Springer
14 years 9 months ago
Situation-Specific Intention Recognition for Human-Robot Cooperation
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...
Peter Krauthausen, Uwe D. Hanebeck
SCIA
2007
Springer
108views Image Analysis» more  SCIA 2007»
15 years 6 months ago
Single View Motion Tracking by Depth and Silhouette Information
In this work1 a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device ...
Daniel Grest, Volker Krüger, Reinhard Koch