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» Nonparametric Density Estimation for Human Pose Tracking
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CVPR
2004
IEEE
16 years 3 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
KI
2010
Springer
14 years 11 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
BMVC
2002
15 years 3 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»
14 years 11 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
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 7 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