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» Human Pose Tracking Using Multi-level Structured Models
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WACV
2002
IEEE
14 years 20 days ago
Face Model Adaptation using Robust Matching and Active Appearance Models
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using deformable 3D models. For each frame, the proposed adaptation is sp...
Fadi Dornaika, Jörgen Ahlberg
CVPR
2010
IEEE
14 years 4 months ago
Tracking People Interacting with Objects
While the problem of tracking 3D human motion has been widely studied, most approaches have assumed that the person is isolated and not interacting with the environment. Environme...
Hedvig Kjellstrom, Michael Black, Danica Kragic
ICPR
2006
IEEE
14 years 8 months ago
Tracking 3D Human Body using Particle Filter in Moving Monocular Camera
In this paper, we propose a method for human tracking using 3D human body model in a video sequence with a monocular moving camera. Tracking a human with unconstrained movement in...
Sungmin Kim, Chang-Beom Park, Seong-Whan Lee
ICIP
2007
IEEE
14 years 9 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
ICIP
2006
IEEE
14 years 9 months ago
Computing Pose Sequences Directly from Videos
An innovative extended Kalman filter (EKF) algorithm for pose tracking has been proposed in this paper. It has the advantages of both structure and motion-based (SAM-based) and tr...
Ying Kin Yu, Kin-hong Wong, Michael Ming-Yuen Chan...