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Combinatorial optimization: algorithms and complexity
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Visual tracking of high DOF articulated structures: an application to human hand tracking
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Graphical Templates for Model Registration
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Pfinder: Real-Time Tracking of the Human Body
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The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Model-Based Estimation of 3D Human Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reconstruction of articulated objects from point correspondences in a single uncalibrated image
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Shape Matching and Object Recognition Using Shape Contexts
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Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Monocuolar Perception of Biological Motion - Clutter and Partial Occlusion
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Order Structure, Correspondence, and Shape Based Categories
Shape, Contour and Grouping in Computer Vision
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Singularity Analysis for Articulated Object Tracking
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Recognition, Tracking, and Reconstruction of Human Motion
AMDO '02 Proceedings of the Second International Workshop on Articulated Motion and Deformable Objects
Learning to track 3D human motion from silhouettes
ICML '04 Proceedings of the twenty-first international conference on Machine learning
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning silhouette features for control of human motion
ACM Transactions on Graphics (TOG)
Recovering 3D Human Pose from Monocular Images
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A Model-Based Approach for Estimating Human 3D Poses in Static Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering 3D Human Body Configurations Using Shape Contexts
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Building Models of Animals from Video
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Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Tracking People by Learning Their Appearance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge affinity for pose-contour matching
Computer Vision and Image Understanding
Silhouette lookup for monocular 3D pose tracking
Image and Vision Computing
Viewpoint invariant exemplar-based 3D human tracking
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Human Pose Estimation Using Partial Configurations and Probabilistic Regions
International Journal of Computer Vision
Nonlinear manifold learning for dynamic shape and dynamic appearance
Computer Vision and Image Understanding
Robust recognition and segmentation of human actions using HMMs with missing observations
EURASIP Journal on Applied Signal Processing
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Human Motion Reconstruction Using Video Processing
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Monocular 3D tracking of articulated human motion in silhouette and pose manifolds
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
A Comparison Study on Two Multi-scale Shape Matching Schemes
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Dynamic shape outlier detection for human locomotion
Computer Vision and Image Understanding
Recovery of upper body poses in static images based on joints detection
Pattern Recognition Letters
Real-Time Body Pose Recognition Using 2D or 3D Haarlets
International Journal of Computer Vision
Using Articulated Models for Tracking Multiple C. elegans in Physical Contact
Journal of Signal Processing Systems
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AMC '09 Proceedings of the 2009 workshop on Ambient media computing
Human Activity Recognition Using the 4D Spatiotemporal Shape Context Descriptor
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
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IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
International Journal of Computer Vision
Coupled Visual and Kinematic Manifold Models for Tracking
International Journal of Computer Vision
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MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Boosted multiple deformable trees for parsing human poses
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Computer Vision and Image Understanding
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ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Detecting people using mutually consistent poselet activations
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Recovering human body configurations: combining segmentation and recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Proposal maps driven MCMC for estimating human body pose in static images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
3D human pose from silhouettes by relevance vector regression
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Human action recognition in video by 'meaningful' poses
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Multiple frame motion inference using belief propagation
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Finding human poses in videos using concurrent matching and segmentation
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Shape context and chamfer matching in cluttered scenes
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
PAMPAS: real-valued graphical models for computer vision
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Homeomorphic manifold analysis: learning decomposable generative models for human motion analysis
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Recognizing interaction between human performers using 'key pose doublet'
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Human posture analysis under partial self-occlusion
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Boundary fragment matching and articulated pose under occlusion
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
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CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Linear programming for matching in human body gesture recognition
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
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RoboCup 2005
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CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
International Journal of Computer Vision
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Discriminative hierarchical part-based models for human parsing and action recognition
The Journal of Machine Learning Research
Motion capture and human pose reconstruction from a single-view video sequence
Digital Signal Processing
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The problem we consider in this paper is to take a single two-dimensional image containing a human body, locate the joint positions, and use these to estimate the body configuration and pose in three-dimensional space. The basic approach is to store a number of exemplar 2D views of the human body in a variety of different configurations and viewpoints with respect to the camera. On each of these stored views, the locations of the body joints (left elbow, right knee, etc.) are manually marked and labelled for future use. The test shape is then matched to each stored view, using the technique of shape context matching in conjunction with a kinematic chain-based deformation model. Assuming that there is a stored view sufficiently similar in configuration and pose, the correspondence process will succeed. The locations of the body joints are then transferred from the exemplar view to the test shape. Given the joint locations, the 3D body configuration and pose are then estimated. We can apply this technique to video by treating each frame independently - tracking just becomes repeated recognition! We present results on a variety of datasets.