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» Multiple Cues used in Model-Based Human Motion Capture
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ATAL
2006
Springer
15 years 1 months ago
Multi-model motion tracking under multiple team member actuators
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
Yang Gu, Manuela M. Veloso
CVPR
2007
IEEE
15 years 4 months ago
Shape Variation-Based Frieze Pattern for Robust Gait Recognition
Gait is an attractive biometric for vision-based human identification. Previous work on existing public data sets has shown that shape cues yield improved recognition rates compar...
Seungkyu Lee, Yanxi Liu, Robert T. Collins
ECCV
2006
Springer
14 years 11 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia
ICML
2009
IEEE
15 years 10 months ago
Factored conditional restricted Boltzmann Machines for modeling motion style
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
Graham W. Taylor, Geoffrey E. Hinton
AMDO
2008
Springer
14 years 11 months ago
Real-Time 3D Body Pose Tracking from Multiple 2D Images
We present a human body motion tracking system for an interactive virtual simulation training environment. This system captures images using IR illumination and near-IR cameras to ...
Chi-Wei Chu, Ramakant Nevatia