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» 3D People Tracking with Gaussian Process Dynamical Models
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ESANN
2008
14 years 11 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
262
Voted
VR
2012
IEEE
337views Virtual Reality» more  VR 2012»
13 years 5 months ago
VRMDS: an intuitive virtual environment for supporting the conceptual design of mechanisms
This paper presents Virtual Reality Mechanism Design Studio (VRMDS), an intuitive virtual environment for supporting the interactive design and simulation of mechanisms. The studio...
Juan Camilo Alvarez, Hai-Jun Su
CVPR
2007
IEEE
16 years 8 days ago
Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention
A critical function in both machine vision and biological vision systems is attentional selection of scene regions worthy of further analysis by higher-level processes such as obj...
Robert J. Peters, Laurent Itti
118
Voted
CVPR
2008
IEEE
16 years 8 days ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
107
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IVC
2002
143views more  IVC 2002»
14 years 10 months ago
Towards the automatic analysis of complex human body motions
The classification of human body motion is an integral component for the automatic interpretation of video sequences. In a first part we present an effective approach that uses mi...
Jens Rittscher, Andrew Blake, Stephen J. Roberts