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ICRA
2005
IEEE
124views Robotics» more  ICRA 2005»
14 years 2 months ago
Analysis of Human Motion for Humanoid Robots
— A great challange in robotics is to make robots more like humans. One important aspect is to make robots move like humans and recognize their motions. Both tasks are based on h...
Jörg Moldenhauer, Ingo Boesnach, Thomas Beth,...
ICDE
2011
IEEE
237views Database» more  ICDE 2011»
13 years 14 days ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
15 years 1 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
JIRS
2006
131views more  JIRS 2006»
13 years 8 months ago
Inverse Kinematics of Human Arm Based on Multisensor Data Integration
The paper considers a technique for computation of the inverse kinematic model of the human arm. The approach is based on measurements of the hand position and orientation as well ...
Matjaz Mihelj
CVPR
2012
IEEE
11 years 11 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang