Results 1 - 10 of 1,681

Articulated body motion capture by annealed particle filtering

by Jonathan Deutscher, Andrew Blake, Ian Reid - In IEEE Conf. on Computer Vision and Pattern Recognition , 2000
"... The main challenge in articulated body motion tracking is the large number of degrees of freedom (around 30) to be recovered. Search algorithms, either deterministic or stochastic, that search such a space without constraint, fall foul of exponential computational complexity. One approach is to intr ..."
Abstract - Cited by 494 (4 self) - Add to MetaCart
The main challenge in articulated body motion tracking is the large number of degrees of freedom (around 30) to be recovered. Search algorithms, either deterministic or stochastic, that search such a space without constraint, fall foul of exponential computational complexity. One approach

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

Tracking People with Twists and Exponential Maps

by Christoph Bregler, Jitendra Malik , 1998
"... This paper demonstrates a new visual motion estimation technique that is able to recover high degree-of-freedom articulated human body configurations in complex video sequences. We introduce the use of a novel mathematical technique, the product of exponential maps and twist motions, and its integra ..."
Abstract - Cited by 450 (5 self) - Add to MetaCart
This paper demonstrates a new visual motion estimation technique that is able to recover high degree-of-freedom articulated human body configurations in complex video sequences. We introduce the use of a novel mathematical technique, the product of exponential maps and twist motions, and its

Deformable models in medical image analysis: A survey

by Tim Mcinerney, Demetri Terzopoulos - Medical Image Analysis , 1996
"... This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory. They hav ..."
Abstract - Cited by 591 (7 self) - Add to MetaCart
. This article reviews the rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, includingsegmentation, shape representation, matching, and motion tracking.

Human Motion Analysis: A Review

by J. K. Aggarwal, Q. Cai - Computer Vision and Image Understanding , 1999
"... Human motion analysis is receiving increasing at-tention from computer vision researchers. This inter-est is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man-machine interfaces, content-based image storage and retrieval, and video conferencing. T ..."
Abstract - Cited by 414 (10 self) - Add to MetaCart
. This paper gives an overview of the various tasks involved in motion analysis of the human body. We focus on three major areas related to interpreting human motion: 1) motion analysis involving human body parts, 2) tracking of human motion wing single or multiple cameras, and 8) recognizing human activities

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
articulated motion model. It also extends previous work on human motion tracking by including a perspective camera model, by modeling limb self occlusion, and by recovering 3D motion from a monocular sequence. The explicit posterior probability distribution represents ambiguities due to image matching, model

Model-based tracking of self-occluding articulated objects

by James M. Rehg, Takeo Kanade - In ICCV , 1995
"... Computer sensing of hand and limb motion is an important problem for applications in humancomputer interaction and computer graphics. We describe aframework for local tracking of self-occluding motion, in which one part of an object obstructs the visibility of another. Our approach uses a kinematic ..."
Abstract - Cited by 243 (6 self) - Add to MetaCart
Computer sensing of hand and limb motion is an important problem for applications in humancomputer interaction and computer graphics. We describe aframework for local tracking of self-occluding motion, in which one part of an object obstructs the visibility of another. Our approach uses a kinematic

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
in total) were collected at 60 Hz with an additional 37,000 time instants of pure motion capture data. A standard set of error measures is defined for evaluating both 2D and 3D pose estimation and tracking algorithms. We also describe a baseline algorithm for 3D articulated tracking that uses a relatively

Fitting Parameterized Three-Dimensional Models to Images

by David G. Lowe - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 1991
"... Model-based recognition and motion tracking depends upon the ability to solve for projection and model parameters that will best fit a 3-D model to matching 2-D image features. This paper extends current methods of parameter solving to handle objects with arbitrary curved surfaces and with any nu ..."
Abstract - Cited by 361 (8 self) - Add to MetaCart
Model-based recognition and motion tracking depends upon the ability to solve for projection and model parameters that will best fit a 3-D model to matching 2-D image features. This paper extends current methods of parameter solving to handle objects with arbitrary curved surfaces and with any

Cardboard people: A parameterized model of articulated image motion

by Shanon X. Ju, Michael J. Black, Yaser Yacoob , 1996
"... In this paper we extend the work of Black and Yacoob [5] on tracking and recognition of human facial expressions to the problem of tracking and recognizing the articulated motion of human limbs. We make the assumption that a person ..."
Abstract - Cited by 234 (20 self) - Add to MetaCart
In this paper we extend the work of Black and Yacoob [5] on tracking and recognition of human facial expressions to the problem of tracking and recognizing the articulated motion of human limbs. We make the assumption that a person
Results 1 - 10 of 1,681