Results 1 - 10 of 991

Monocular Real-Time 3D Articulated Hand Pose Estimation

by Javier Romero, Hedvig Kjellström, Danica Kragic
"... Abstract — Markerless, vision based estimation of human hand pose over time is a prerequisite for a number of robotics applications, such as Learning by Demonstration (LbD), health monitoring, teleoperation, human-robot interaction. It has special interest in humanoid platforms, where the number of ..."
Abstract - Cited by 11 (2 self) - Add to MetaCart
Abstract — Markerless, vision based estimation of human hand pose over time is a prerequisite for a number of robotics applications, such as Learning by Demonstration (LbD), health monitoring, teleoperation, human-robot interaction. It has special interest in humanoid platforms, where the number

T.K.: Real-time articulated hand pose estimation using semi-supervised transductive regression forests

by Danhang Tang, Tsz-ho Yu, Tae-kyun Kim - In: Proc. ICCV (2013
"... This paper presents the first semi-supervised transduc-tive algorithm for real-time articulated hand pose estima-tion. Noisy data and occlusions are the major challenges of articulated hand pose estimation. In addition, the dis-crepancies among realistic and synthetic pose data under-mine the perfor ..."
Abstract - Cited by 26 (3 self) - Add to MetaCart
This paper presents the first semi-supervised transduc-tive algorithm for real-time articulated hand pose estima-tion. Noisy data and occlusions are the major challenges of articulated hand pose estimation. In addition, the dis-crepancies among realistic and synthetic pose data under

EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation

by Michael J. Black, Allan D. Jepson - International Journal of Computer Vision , 1998
"... This paper describes an approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimation techniques, and parameterized optical flow estimation. First, we note that the least-squares image r ..."
Abstract - Cited by 656 (16 self) - Add to MetaCart
This paper describes an approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimation techniques, and parameterized optical flow estimation. First, we note that the least-squares image

Real-time articulated hand detection and pose

by Giorgio Panin, Sebastian Klose, Alois Knoll
"... estimation ..."
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estimation

Articulated pose estimation with flexible mixturesof-parts

by Yi Yang, Deva Ramanan - In CVPR
"... We describe a method for human pose estimation in static images based on a novel representation of part mod-els. Notably, we do not use articulated limb parts, but rather capture orientation with a mixture of templates for each part. We describe a general, flexible mixture model for capturing contex ..."
Abstract - Cited by 179 (8 self) - Add to MetaCart
We describe a method for human pose estimation in static images based on a novel representation of part mod-els. Notably, we do not use articulated limb parts, but rather capture orientation with a mixture of templates for each part. We describe a general, flexible mixture model for capturing

Pictorial structures revisited: People detection and articulated pose estimation

by Mykhaylo Andriluka, Stefan Roth, Bernt Schiele - In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009 , 2009
"... Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and often address different special cases, such as pedestrian detection or upper body pose estimation in TV footage. This paper sh ..."
Abstract - Cited by 211 (17 self) - Add to MetaCart
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and often address different special cases, such as pedestrian detection or upper body pose estimation in TV footage. This paper

Stochastic Tracking of 3D Human Figures Using 2D Image Motion

by Hedvig Sidenbladh, Michael J. Black, D. J. Fleet - In European Conference on Computer Vision , 2000
"... . A probabilistic method for tracking 3D articulated human gures in monocular image sequences is presented. Within a Bayesian framework, we de ne a generative model of image appearance, a robust likelihood function based on image graylevel dierences, and a prior probability distribution over pose an ..."
Abstract - Cited by 383 (33 self) - Add to MetaCart
. A probabilistic method for tracking 3D articulated human gures in monocular image sequences is presented. Within a Bayesian framework, we de ne a generative model of image appearance, a robust likelihood function based on image graylevel dierences, and a prior probability distribution over pose

Fast pose estimation with parameter-sensitive hashing

by Gregory Shakhnarovich, Paul Viola, Trevor Darrell - In ICCV , 2003
"... Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensional problems such as pose estimation, the number of required examples and the computational complexity rapidly become pro ..."
Abstract - Cited by 250 (8 self) - Add to MetaCart
estimate the articulated pose of human figures from a large database of example images. 1.

Cascaded Models for Articulated Pose Estimation

by Benjamin Sapp, Alexander Toshev, Ben Taskar - ECCV 2010 , 2010
"... Abstract. We address the problem of articulated human pose estimation by learning a coarse-to-fine cascade of pictorial structure models. While the fine-level state-space of poses of individual parts is too large to permit the use of rich appearance models, most possibilities can be ruled out by eff ..."
Abstract - Cited by 72 (4 self) - Add to MetaCart
Abstract. We address the problem of articulated human pose estimation by learning a coarse-to-fine cascade of pictorial structure models. While the fine-level state-space of poses of individual parts is too large to permit the use of rich appearance models, most possibilities can be ruled out

HumanEva: Synchronized video and motion capture dataset for evaluation of articulated human motion

by Leonid Sigal, Alexandru O. Balan, Michael J. Black , 2006
"... While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing methods to establish the current state of the art. We present data obtained using a hardware system that is able to capture s ..."
Abstract - Cited by 266 (15 self) - Add to MetaCart
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing methods to establish the current state of the art. We present data obtained using a hardware system that is able to capture
Results 1 - 10 of 991