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» Human Attributes from 3D Pose Tracking
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ECCV
2010
Springer
13 years 8 months ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
BMVC
1998
13 years 5 months ago
Reconstructing 3D Pose and Motion from a Single Camera View
This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within ...
Richard Bowden, T. A. Mitchell, Mansoor Sarhadi
IVC
2007
138views more  IVC 2007»
13 years 3 months ago
Silhouette lookup for monocular 3D pose tracking
Computers should be able to detect and track the articulated 3-D pose of a human being moving through a video sequence. Incremental tracking methods often prove slow and unreliabl...
Nicholas R. Howe
PAMI
2006
358views more  PAMI 2006»
13 years 3 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
ICPR
2008
IEEE
14 years 4 months ago
Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm
In this contribution we introduce the Shape Flow algorithm (SF), a novel method for spatio-temporal 3D pose estimation of a 3D parametric curve. The SF is integrated into a tracki...
Markus Hahn, Lars Krüger, Christian Wöhl...