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» Learning Local Models For 2d Human Motion Tracking
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ICML
2007
IEEE
14 years 9 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi
ECCV
2010
Springer
14 years 1 months ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
SPEECH
1998
215views more  SPEECH 1998»
13 years 8 months ago
3D lip shapes from video: A combined physical-statistical model
Tracking human lips in video is an important but notoriously dicult task. To accurately recover their motions in 3D from any head pose is an even more challenging task, though s...
Sumit Basu, Nuria Oliver, Alex Pentland
ICIAR
2009
Springer
13 years 6 months ago
3D Human Pose Estimation from Static Images Using Local Features and Discriminative Learning
In this paper an approach to recover the 3D human body pose from static images is proposed. We adopt a discriminative learning technique to directly infer the 3D pose from appearan...
Suman Sedai, Farid Flitti, Mohammed Bennamoun, Du ...
ICCV
1999
IEEE
14 years 10 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...