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CVPR
2009
IEEE
3130views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Motion Capture Using Joint Skeleton Tracking and Surface Estimation
This paper proposes a method for capturing the performance of a human or an animal from a multi-view video sequence. Given an articulated template model and silhouettes from a m...
Juergen Gall (BIWI, ETH Zurich), Carsten Stoll (Ma...
ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
14 years 1 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
AMDO
2004
Springer
13 years 11 months ago
3D Human Walking Modeling
This paper presents a new approach for 3D human walking modeling from monocular image sequences. An efficient feature point selection and tracking approach has been used to compute...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...
ICPR
2008
IEEE
14 years 2 months ago
Human activity recognition from frame's spatiotemporal representation
This paper presents an approach for human activity recognition by representing the frames of the video sequence with the distribution of local motion features and their spatiotemp...
Zhipeng Zhao, Ahmed M. Elgammal
ICIP
2005
IEEE
14 years 9 months ago
Flow lookup and biological motion perception
Optical flow in monocular video can serve as a key for recognizing and tracking the three-dimensional pose of human subjects. In comparison with prior work using silhouettes as a ...
Nicholas R. Howe