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» Learning to track 3D human motion from silhouettes
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ICIP
2001
IEEE
14 years 9 months ago
Tracking of human activities using shape-encoded particle propagation
We present an approach to tracking human activities in a monocular video. We model the human body by decomposing it into torso and limbs and use simple 3D shapes to approximate th...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
MICCAI
2004
Springer
14 years 8 months ago
Bone Motion Analysis from Dynamic MRI: Acquisition and Tracking
For diagnosis, preoperative planning and postoperative guides, an accurate estimate of joints kinematics is required. We bring together MRI developments and new image processing me...
Benjamin Gilles, Rosalind Perrin, Nadia Magnenat-T...
ICIP
1998
IEEE
14 years 9 months ago
Deriving Facial Articulation Models from Image Sequences
In this paper, human facial articulation models are derived from frontal and side view image sequences using connected vibrations non-rigid motion tracking algorithm. First, a 3D ...
Hai Tao, Thomas S. Huang
CVPR
2005
IEEE
14 years 1 months ago
A Measure of Deformability of Shapes, with Applications to Human Motion Analysis
In this paper we develop a theory for characterizing how deformable a shape is. We define a term called “deformability index” for shapes. The deformability index is computed ...
Amit K. Roy Chowdhury
CVPR
2008
IEEE
14 years 9 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah