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» Learning to track 3D human motion from silhouettes
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ICPR
2008
IEEE
14 years 1 months ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
CVPR
2007
IEEE
14 years 9 months ago
Detailed Human Shape and Pose from Images
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
Alexandru O. Balan, Leonid Sigal, Michael J. Black...
ICIP
2007
IEEE
14 years 9 months ago
Super-Resolved Facial Texture Under Changing Pose and Illumination
In this paper, we propose a method to incrementally superresolve 3D facial texture by integrating information frame by frame from a video captured under changing poses and illumin...
Jiangang Yu, Bir Bhanu, Yilei Xu, Amit K. Roy Chow...
CRV
2005
IEEE
166views Robotics» more  CRV 2005»
14 years 1 months ago
Face as Mouse Through Visual Face Tracking
This paper introduces a novel camera mouse driven by 3D model based visual face tracking. While camera becomes standard configuration for personal computer(PC) and computer speed...
Jilin Tu, Thomas S. Huang, Hai Tao
ECAI
2004
Springer
14 years 23 days ago
Qualitative Reasoning Feeding Back into Quantitative Model-Based Tracking
Tracking vehicles in image sequences of innercity road traffic scenes still constitutes a challenging task. Even if a-priori knowledge about the 3D shape of vehicles, of backgroun...
Christian Köhler, Artur Ottlik, Hans-Hellmut ...