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» Human Pose Tracking Using Multi-level Structured Models
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FGR
2008
IEEE
229views Biometrics» more  FGR 2008»
14 years 2 months ago
Symmetry-based face pose estimation from a single uncalibrated view
In this paper, a geometric method for estimating the face pose (roll and yaw angles) from a single uncalibrated view is presented. The symmetric structure of the human face is exp...
Vinod Pathangay, Sukhendu Das, Thomas Greiner
ICIP
2005
IEEE
14 years 9 months ago
Flow lookup and biological motion perception
Optical flow in monocular video can serve as a key for recognizing and tracking the three-dimensional pose of human subjects. In comparison with prior work using silhouettes as a ...
Nicholas R. Howe
CVPR
2008
IEEE
14 years 9 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
CVPR
2004
IEEE
14 years 9 months ago
Fast, Integrated Person Tracking and Activity Recognition with Plan-View Templates from a Single Stereo Camera
Copyright 2004 IEEE. Published in Conference on Computer Vision and Pattern Recognition (CVPR-2004), June 27 - July 2, 2004, Washington DC. Personal use of this material is permit...
Michael Harville, Dalong Li
ECAI
2004
Springer
14 years 1 months 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 ...