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» Pose estimation and tracking using multivariate regression
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ICIP
2006
IEEE
15 years 11 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...
CVPR
2010
IEEE
15 years 6 months ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
CRV
2004
IEEE
136views Robotics» more  CRV 2004»
15 years 1 months ago
An Optical-Inertial Tracking System for Fully-Enclosed VR Displays
This paper describes a hybrid optical-inertial tracking technology for fully-immersive projective displays. In order to track the operator, the operator wears a 3DOF commercial in...
A. R. Hogue, Michael R. M. Jenkin, Robert S. Allis...
FGR
2006
IEEE
148views Biometrics» more  FGR 2006»
15 years 3 months ago
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
Chan-Su Lee, Ahmed M. Elgammal
AMDO
2010
Springer
14 years 7 months ago
Multiple-Activity Human Body Tracking in Unconstrained Environments
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab