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» Markerless Motion Capture from Monocular Videos
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ICPR
2008
IEEE
14 years 3 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
TCSV
2008
94views more  TCSV 2008»
13 years 9 months ago
Human Activity Recognition Based on Silhouette Directionality
Recent advances in computer vision and pattern recognition have fuelled numerous initiatives that aim to intelligently recognize human activities. In this paper, we propose an algo...
Meghna Singh, Anup Basu, Mrinal K. Mandal
FGR
2004
IEEE
129views Biometrics» more  FGR 2004»
14 years 22 days ago
Multiple Frame Motion Inference Using Belief Propagation
We present an algorithm for automatic inference of human upper body motion. A graph model is proposed for inferring human motion, and motion inference is posed as a mapping proble...
Jiang Gao, Jianbo Shi
CVPR
2004
IEEE
14 years 11 months ago
Non-Rigid Shape and Motion Recovery: Degenerate Deformations
This paper studies the problem of 3D non-rigid shape and motion recovery from a monocular video sequence, under the degenerate deformations. The shape of a deformable object is re...
Jing Xiao, Takeo Kanade
ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
14 years 3 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