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» 3D Human Motion Tracking using Manifold Learning
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ICPR
2008
IEEE
14 years 8 months ago
Parametric video compression using appearance space
The novelty of the approach presented in this paper is the unique object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods...
Santanu Chaudhury, Subarna Tripathi, Sumantra Dutt...
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
CVPR
2012
IEEE
11 years 10 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
HUC
1999
Springer
13 years 12 months ago
On Positioning for Augmented Reality Systems
In Augmented Reality (AR), see-through Head Mounted Displays (HMDs) superimpose virtual 3D objects over the real world. They have the potential to enhance a user's perception ...
Stelian Persa, Pieter Jonker
CVPR
2011
IEEE
12 years 11 months ago
Probabilistic Gaze Estimation Without Active Personal Calibration
Existing eye gaze tracking systems typically require an explicit personal calibration process in order to estimate certain person-specific eye parameters. For natural human compu...
Jixu Chen, Qiang Ji