CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Graphical Models: Foundations of Neural Computation
Graphical Models: Foundations of Neural Computation
A Smoothing Filter for CONDENSATION
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
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
Finding Deformable Shapes Using Loopy Belief Propagation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A family of algorithms for approximate bayesian inference
A family of algorithms for approximate bayesian inference
Nonparametric belief propagation
Communications of the ACM
A general algorithm for approximate inference and its application to hybrid bayes nets
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Tractable inference for complex stochastic processes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Nonparametric belief propagation for self-calibration in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Variational Maximum A Posteriori by Annealed Mean Field Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequential mean field variational analysis of structured deformable shapes
Computer Vision and Image Understanding
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A General Framework for Combining Visual Trackers --- The "Black Boxes" Approach
International Journal of Computer Vision
Approximate Bayesian Multibody Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking People by Learning Their Appearance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-Temporal Context for Robust Multitarget Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic quantization for belief propagation in sparse spaces
Computer Vision and Image Understanding
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-temporal graphical-model-based multiple facial feature tracking
EURASIP Journal on Applied Signal Processing
Learning-based nonparametric image super-resolution
EURASIP Journal on Applied Signal Processing
A decentralized probabilistic approach to articulated body tracking
Computer Vision and Image Understanding
Efficient belief propagation for higher-order cliques using linear constraint nodes
Computer Vision and Image Understanding
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Fast nonparametric belief propagation for real-time stereo articulated body tracking
Computer Vision and Image Understanding
Computing Stable Skeletons with Particle Filters
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Learning Generative Models for Multi-Activity Body Pose Estimation
International Journal of Computer Vision
Models for patch-based image restoration
Journal on Image and Video Processing - Special issue on patches in vision
A computational model of the cerebral cortex
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Efficient Markov network structure discovery using independence tests
Journal of Artificial Intelligence Research
Sequential mean field variational analysis of structured deformable shapes
Computer Vision and Image Understanding
Combination of Annealing Particle Filter and Belief Propagation for 3D Upper Body Tracking
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Silhouette representation and matching for 3D pose discrimination - A comparative study
Image and Vision Computing
Tracking complex objects using graphical object models
IWCM'04 Proceedings of the 1st international conference on Complex motion
Distributed inference for network localization using radio interferometric ranging
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Nonparametric belief propagation
Communications of the ACM
Estimating 3D pose via stochastic search and expectation maximization
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Cyclic articulated human motion tracking by sequential ancestral simulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Nonparametric belief propagation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Human posture analysis under partial self-occlusion
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Predicting 3d people from 2d pictures
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Tracking targets via particle based belief propagation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Human pose tracking using multi-level structured models
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Sequential stratified sampling belief propagation for multiple targets tracking
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Visual hand tracking using nonparametric sequential belief propagation
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Tracking dynamic near-regular texture under occlusion and rapid movements
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
International Journal of Computer Vision
Spring lattice counting grids: scene recognition using deformable positional constraints
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Journal of Computational Physics
Computer Vision and Image Understanding
The Journal of Machine Learning Research
Combination of annealing particle filter and belief propagation for 3D upper body tracking
Applied Bionics and Biomechanics - Personal Care Robotics
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Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, the dependencies between the dimensions lead to an exponential growth in computation when performing inference. Many common computer vision problems naturally map onto the graphical model framework; the representation is a graph where each node contains a portion of the state-space and there is an edge between two nodes only if they are not independent conditional on the other nodes in the graph. When this graph is sparsely connected, belief propagation algorithms can turn an exponential inference computation into one which is linear in the size of the graph. However belief propagation is only applicable when the variables in the nodes are discrete-valued or jointly represented by a single multivariate Gaussian distribution, and this rules out many computer vision applications. This paper combines belief propagation with ideas from particle filtering; the resulting algorithm performs inference on graphs containing both cycles and continuousvalued latent variables with general conditional probability distributions. Such graphical models have wide applicability in the computer vision domain and we test the algorithm on example problems of low-level edge linking and locating jointed structures in clutter.