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» Nonparametric Density Estimation for Human Pose Tracking
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158
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CVPR
2004
IEEE
16 years 6 months ago
View Independent Human Body Pose Estimation from a Single Perspective Image
Recovering the 3D coordinates of various joints of the human body from an image is a critical first step for several model-based human tracking and optical motion capture systems....
Vasu Parameswaran, Rama Chellappa
190
Voted
KI
2010
Springer
15 years 2 months ago
Human Head Pose Estimation Using Multi-appearance Features
Non-verbal interaction signals are of great interest in the research field of natural human-robot interaction. These signals are not limited to gestures and emotional expressions ...
Norbert Schmitz, Gregor Zolynski, Karsten Berns
120
Voted
BMVC
2002
15 years 6 months ago
Low Density Feature Point Matching for Articulated Pose Identification
We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...
Horst Holstein, Baihua Li
PAMI
2010
146views more  PAMI 2010»
15 years 2 months ago
A Generalized Kernel Consensus-Based Robust Estimator
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
Hanzi Wang, Daniel Mirota, Gregory D. Hager
140
Voted
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 10 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic