69 search results - page 1 / 14 » Learning 4D action feature models for arbitrary view action ... |
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
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...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
ICCV
2007
IEEE
14 years 3 months ago
2007
IEEE
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
ICPR
2006
IEEE
14 years 3 months ago
2006
IEEE
In this paper, we present a novel method for human action recognition from any arbitrary view image sequence that uses the Cartesian component of optical flow velocity and human ...