Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Discovery and Segmentation of Activities in Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Probabilistic Tracking with Exemplars in a Metric Space
International Journal of Computer Vision - Marr Prize Special Issue
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Recognizing and Tracking Human Action
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Learning kernel-based HMMs for dynamic sequence synthesis
Graphical Models - Special issue on Pacific graphics 2002
Probabilistic Tracking and Recognition of Non-Rigid Hand Motion
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
A framework for heading-guided recognition of human activity
Computer Vision and Image Understanding
Learning to track 3D human motion from silhouettes
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
Tracking Multiple Humans in Complex Situations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance animation from low-dimensional control signals
ACM SIGGRAPH 2005 Papers
Learning silhouette features for control of human motion
ACM Transactions on Graphics (TOG)
Analyzing and Capturing Articulated Hand Motion in Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering Articulated Pose: A Comparison of Two Pre and Postimposed Constraint Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
International Journal of Computer Vision
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Video-guided motion synthesis using example motions
ACM Transactions on Graphics (TOG)
Silhouette lookup for monocular 3D pose tracking
Image and Vision Computing
Fast stochastic optimization for articulated structure tracking
Image and Vision Computing
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Viewpoint invariant exemplar-based 3D human tracking
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Nonlinear manifold learning for dynamic shape and dynamic appearance
Computer Vision and Image Understanding
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Pose estimation and tracking using multivariate regression
Pattern Recognition Letters
Dynamic shape outlier detection for human locomotion
Computer Vision and Image Understanding
A Single Camera Motion Capture System for Human-Computer Interaction
IEICE - Transactions on Information and Systems
Action-specific motion prior for efficient Bayesian 3D human body tracking
Pattern Recognition
Leveraging the talent of hand animators to create three-dimensional animation
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Vision-based human pose estimation for pervasive computing
AMC '09 Proceedings of the 2009 workshop on Ambient media computing
Representing cyclic human motion using functional analysis
Image and Vision Computing
Coupled Visual and Kinematic Manifold Models for Tracking
International Journal of Computer Vision
Qualitative characterization and use of prior information
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Robust spectral 3D-bodypart segmentation along time
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Learning local models for 2D human motion tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Variational mixture smoothing for non-linear dynamical systems
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Inferring 3D body pose from silhouettes using activity manifold learning
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
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A two-stage Bayesian network method for 3D human pose estimation from monocular image sequences
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
3D model-based hand tracking using stochastic direct search method
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Monocular reconstruction of human motion by qualitative selection
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture 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
Virtual fashion show using real-time markerless motion capture
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Inferring 3d body pose from uncalibrated video
RoboCup 2005
Multivariate relevance vector machines for tracking
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Continuous body and hand gesture recognition for natural human-computer interaction
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
Gaussian process motion graph models for smooth transitions among multiple actions
Computer Vision and Image Understanding
Estimating human pose from occluded images
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
3D reconstruction of human motion and skeleton from uncalibrated monocular video
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Simultaneous particle tracking in multi-action motion models with synthesized paths
Image and Vision Computing
Combination of annealing particle filter and belief propagation for 3D upper body tracking
Applied Bionics and Biomechanics - Personal Care Robotics
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The mapping between 3D body poses and 2D shadows is fundamentally many-to-many and defeats regression methods, even with windowed context. We show how to learn a function between paths in the two systems, resolving ambiguities by integrating information over the entire length of a sequence.The basis of this function is a configurable and dynamical manifold that summarizes the target system's behavior. This manifold can be modeled from data with a hidden Markov model having special topological properties that we obtain via entropy minimization. Inference is then a matter of solving for the geodesic on the manifold that best explains the evidence in the cue sequence. We give a closed-form maximum a posteriori solution for geodesics through the learned density space, thereby obtaining optimal paths over the dynamical manifold.These methods give a completely general way to perform inference over time-series; in vision they support analysis, recognition, classification and synthesis of behaviors in linear time. We demonstrate with a prototype that infers 3D from monocular monochromatic sequences (e.g., back-subtractions), without using any articulatory body model. The framework readily accommodates multiple cameras and other sources of evidence such as optical flow or feature tracking.