Neural Computation
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Learning in graphical models
Comparison of approximate methods for handling hyperparameters
Neural Computation
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Model-based estimation of 3D human motion with occlusion based on active multi-viewpoint selection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
Inferring 3D Structure with a Statistical Image-Based Shape Model
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
3D Tracking = Classification + Interpolation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
3D Texture Recognition Using Bidirectional Feature Histograms
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Generative modeling for continuous non-linearly embedded visual inference
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Discriminative Density Propagation for 3D Human Motion Estimation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Priors for People Tracking from Small Training Sets
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Conditional Random Fields for Contextual Human Motion Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
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
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
Kinematic jump processes for monocular 3D human tracking
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Nonparametric belief propagation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Monocular tracking with a mixture of view-dependent learned models
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Bayesian hierarchical mixtures of experts
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
POSECUT: simultaneous segmentation and 3D pose estimation of humans using dynamic graph-cuts
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Video synchronization from human motion using rank constraints
Computer Vision and Image Understanding
Articulated object tracking by rendering consistent appearance parts
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Twin Gaussian Processes for Structured Prediction
International Journal of Computer Vision
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
Physics-Based Person Tracking Using the Anthropomorphic Walker
International Journal of Computer Vision
VideoMocap: modeling physically realistic human motion from monocular video sequences
ACM SIGGRAPH 2010 papers
A software pipeline for 3D animation generation using mocap data and commercial shape models
Proceedings of the ACM International Conference on Image and Video Retrieval
2D action recognition serves 3D human pose estimation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Human attributes from 3D pose tracking
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
Video-based 3D motion capture through biped control
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Globally Optimal Estimation of Nonrigid Image Distortion
International Journal of Computer Vision
Coupled Action Recognition and Pose Estimation from Multiple Views
International Journal of Computer Vision
A mixture of experts approach to multi-strategy image quality assessment
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Context and profile based cascade classifier for efficient people detection and safety care system
Multimedia Tools and Applications
Computer Vision and Image Understanding
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We introduce BM鲁E, a Conditional Bayesian Mixture of Experts Markov Model, for consistent probabilistic estimates in discriminative visual tracking. The model applies to problems of temporal and uncertain inference and represents the unexplored bottom-up counterpart of pervasive generative models estimated with Kalman filtering or particle filtering. Instead of inverting a non-linear generative observation model at run-time, we learn to cooperatively predict complex state distributions directly from descriptors that encode image observations — typically bag-of-feature global image histograms or descriptors computed over regular spatial grids. These are integrated in a conditional graphical model in order to enforce temporal smoothness constraints and allow a principled management of uncertainty. The algorithms combine sparsity, mixture modeling, and non-linear dimensionality reduction for efficient computation in high-dimensional continuous state spaces. The combined system automatically self-initializes and recovers from failure. The research has three contributions: (1) We establish the density propagation rules for discriminative inference in continuous, temporal chain models; (2) We propose flexible supervised and unsupervised algorithms for learning feedforward, multivalued contextual mappings (multimodal state distributions) based on compact, conditional Bayesian mixture of experts models; (3) We validate the framework empirically for the reconstruction of 3d human motion in monocular video sequences. Our tests on both real and motion capture-based sequences show significant performance gains with respect to competing nearest-neighbor, regression, and structured prediction methods.