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» Learning to track 3D human motion from silhouettes
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ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 1 months ago
Stereo-based Markerless Human Motion Capture for Humanoid Robot Systems
Abstract— In this paper, we present an image-based markerless human motion capture system, intended for humanoid robot systems. The restrictions set by this ambitious goal are nu...
Pedram Azad, Ales Ude, Tamim Asfour, Rüdiger ...
CVPR
2006
IEEE
14 years 9 months ago
Dynamic Appearance Modeling for Human Tracking
Dynamic appearance is one of the most important cues for tracking and identifying moving people. However, direct modeling spatio-temporal variations of such appearance is often a ...
Hwasup Lim, Octavia I. Camps, Mario Sznaier, Vlad ...
ICCV
2009
IEEE
15 years 11 days ago
Estimating Contact Dynamics
Motion and interaction with the environment are fundamentally intertwined. Few people-tracking algorithms exploit such interactions, and those that do assume that surface geomet...
Marcus A. Brubaker Leonid Sigal David J. Fleet
AIPR
2008
IEEE
13 years 9 months ago
Full body tracking using an agent-based architecture
We present an agent-based full body tracking and 3D animation system to generate motion data using stereo calibrated cameras. The novelty of our approach is that agents are bound t...
Bing Fang, Liguang Xie, Pak-Kiu Chung, Yong Cao, F...
BMVC
2010
13 years 5 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...