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143
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AMDO
2006
Springer
15 years 4 months ago
Predicting 3D People from 2D Pictures
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Leonid Sigal, Michael J. Black
109
Voted
BMCBI
2010
176views more  BMCBI 2010»
15 years 27 days ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
108
Voted
CVPR
2007
IEEE
16 years 2 months ago
3D Occlusion Inference from Silhouette Cues
We consider the problem of detecting and accounting for the presence of occluders in a 3D scene based on silhouette cues in video streams obtained from multiple, calibrated views....
Jean-Sébastien Franco, Li Guan, Marc Pollef...
155
Voted
TITB
2010
167views Education» more  TITB 2010»
14 years 7 months ago
Structural action recognition in body sensor networks: distributed classification based on string matching
Mobile sensor-based systems are emerging as promising platforms for healthcare monitoring. An important goal of these systems is to extract physiological information about the subj...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
107
Voted
CVPR
2010
IEEE
15 years 8 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino