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» Controlling a marionette with human motion capture data
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ISVC
2007
Springer
14 years 2 months ago
Gradient-Based Hand Tracking Using Silhouette Data
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
Paris Kaimakis, Joan Lasenby
CVPR
2009
IEEE
1962views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
Rizwan Chaudhry, Avinash Ravichandran, Gregory D. ...
PAMI
2006
358views more  PAMI 2006»
13 years 8 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
TOG
2002
208views more  TOG 2002»
13 years 7 months ago
Articulated body deformation from range scan data
This paper presents an example-based method for calculating skeleton-driven body deformations. Our example data consists of range scans of a human body in a variety of poses. Usin...
Brett Allen, Brian Curless, Zoran Popovic
CVIU
2010
184views more  CVIU 2010»
13 years 5 months ago
Vision and RFID data fusion for tracking people in crowds by a mobile robot
In this paper, we address the problem of realizing a human following task in a crowded environment. We consider an active perception system, consisting of a camera mounted on a pa...
Thierry Germa, Frédéric Lerasle, Nou...