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» Learning and Tracking Cyclic Human Motion
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ICIP
2007
IEEE
14 years 9 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...
MM
2004
ACM
277views Multimedia» more  MM 2004»
14 years 1 months ago
Avatar-mediated face tracking and lip reading for human computer interaction
Advanced human computer interaction requires automatic reading of human face in order to make the computer interact with human in the same way as human-to-human communication. We ...
Xiaozhou Wei, Lijun Yin, Zhiwei Zhu, Qiang Ji
ICCV
2001
IEEE
14 years 9 months ago
Human Tracking with Mixtures of Trees
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
Sergey Ioffe, David A. Forsyth
GW
2009
Springer
226views Biometrics» more  GW 2009»
13 years 5 months ago
Statistical Gesture Models for 3D Motion Capture from a Library of Gestures with Variants
A challenge for 3D motion capture by monocular vision is 3D-2D projection ambiguities that may bring incorrect poses during tracking. In this paper, we propose improving 3D motion ...
Zhenbo Li, Patrick Horain, André-Marie Pez,...
CVPR
2001
IEEE
14 years 9 months ago
Recognition of Human Gaits
We pose the problem of recognizing different types of human gait in the space of dynamical systems where each gait is represented. Established techniques are employed to track a k...
Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Ste...