Analyzing and Capturing Articulated Hand Motion in Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time hand tracking using a mean shift embedded particle filter
Pattern Recognition
Vision-based hand pose estimation: A review
Computer Vision and Image Understanding
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Contour tracking based on marginalized likelihood ratios
Image and Vision Computing
A variational approach to monocular hand-pose estimation
Computer Vision and Image Understanding
Gradient-based hand tracking using silhouette data
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
3D hand tracking in a stochastic approximation setting
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
A low density lattice decoder via non-parametric belief propagation
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Nonparametric belief propagation
Communications of the ACM
A multi-view vision-based hand motion capturing system
Pattern Recognition
Silhouette area based similarity measure for template matching in constant time
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
An incremental PCA-HOG descriptor for robust visual hand tracking
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
A graphical model based solution to the facial feature point tracking problem
Image and Vision Computing
Affine warp propagation for fast simultaneous modelling and tracking of articulated objects
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Markerless and efficient 26-DOF hand pose recovery
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Manipulator and object tracking for in-hand 3D object modeling
International Journal of Robotics Research
Segmentation-free, area-based articulated object tracking
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Human posture analysis under partial self-occlusion
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Bayesian tracking of intracranial pressure signal morphology
Artificial Intelligence in Medicine
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Visual hand tracking using nonparametric sequential belief propagation
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Motion capture of hands in action using discriminative salient points
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Spring lattice counting grids: scene recognition using deformable positional constraints
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Model-based 3D tracking of an articulated hand from single depth images
Pattern Recognition Letters
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Bootstrapping a robot's kinematic model
Robotics and Autonomous Systems
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This paper develops probabilistic methods for visual tracking of a three-dimensional geometric hand model from monocular image sequences. We consider a redundant representation in which each model component is described by its position and orientation in the world coordinate frame. A prior model is then defined which enforces the kinematic constraints implied by the model's joints. We show that this prior has a local structure, and is in fact a pairwise Markov random field. Furthermore, our redundant representation allows color and edge-based likelihood measures, such as the Chamfer distance, to be similarly decomposed in cases where there is no self-occlusion. Given this graphical model of hand kinematics, we may track the hand's motion using the recently proposed nonparametric belief propagation (NBP) algorithm. Like particle filters, NBP approximates the posterior distribution over hand configurations as a collection of samples. However, NBP uses the graphical structure to greatly reduce the dimensionality of these distributions, providing improved robustness. Several methods are used to improve NBP's computational efficiency, including a novel KD-tree based method for fast Chamfer distance evaluation. We provide simulations showing that NBP may be used to refine inaccurate model initializations, as well as track hand motion through extended image sequences.