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» Human Attributes from 3D Pose Tracking
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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...
ICCV
2011
IEEE
12 years 7 months ago
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
In recent years, depth cameras have become a widely available sensor type that captures depth images at realtime frame rates. Even though recent approaches have shown that 3D pose...
Andreas Baak, Meinard Muller, Gaurav Bharaj, Hans-...
ISMAR
2002
IEEE
14 years 21 days ago
Tracking with Omni-Directional Vision for Outdoor AR Systems
Most pose (3D position and 3D orientation) tracking methods using vision require a priori knowledge about the environment and correspondences between 3D environment features and 2...
Jong Weon Lee, Suya You, Ulrich Neumann
CLEAR
2007
Springer
211views Biometrics» more  CLEAR 2007»
14 years 2 months ago
An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms
This paper presents a visual particle filter for tracking a variable number of humans interacting in indoor environments, using multiple cameras. It is built upon a 3-dimensional,...
Oswald Lanz, Paul Chippendale, Roberto Brunelli
NIPS
2000
13 years 9 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...