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» Unsupervised Learning of Human Motion Models
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3DPVT
2004
IEEE
108views Visualization» more  3DPVT 2004»
13 years 9 months ago
Unsupervised Motion Classification by Means of Efficient Feature Selection and Tracking
This paper presents an efficient technique for human motion recognition; in particular, it is focused on labeling a movement as a walking or running displacement, which are the mo...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...
FGR
2000
IEEE
161views Biometrics» more  FGR 2000»
13 years 9 months ago
Learning and Synthesizing Human Body Motion and Posture
A novel approach is presented for estimating human body posture and motion from a video sequence. Human pose is defined as the instantaneous image plane configuration of a singl...
Rómer Rosales, Stan Sclaroff
HUMO
2000
Springer
13 years 9 months ago
A Computational Model for Motion Detection and Direction Discrimination in Humans
Seeing biological motion is very important for both humans and computers. Psychophysics experiments show that the ability of our visual system for biological motion detection and ...
Yang Song, Pietro Perona
PCM
2001
Springer
150views Multimedia» more  PCM 2001»
13 years 9 months ago
Unsupervised Analysis of Human Gestures
Recognition of human gestures is important for analysis and indexing of video. To recognize human gestures on video, generally a large number of training examples for each individu...
Tianshu Wang, Heung-Yeung Shum, Ying-Qing Xu, Nann...
CVPR
2010
IEEE
14 years 1 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li