A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Additive versus exponentiated gradient updates for linear prediction
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Tracking persons in monocular image sequences
Computer Vision and Image Understanding
Real-time 3D model acquisition
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
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)
Monocular tracking of the human arm in 3D
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Tracking through Singularities and Discontinuities by Random Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Building efficient, accurate character skins from examples
ACM SIGGRAPH 2003 Papers
Wormholes in Shape Space: Tracking through Discontinuous Changes in Shape
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Tracking Articulated Hand Motion with Eigen Dynamics Analysis
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Stochastic Meta-Descent for Tracking Articulated Structures
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 1 - Volume 01
Guest Editorial: Generative model based vision
Computer Vision and Image Understanding
On the computational rationale for generative models
Computer Vision and Image Understanding
Human-Centred Intelligent Human Computer Interaction (HCI²): how far are we from attaining it?
International Journal of Autonomous and Adaptive Communications Systems
Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Real-time 3D hand-computer interaction: optimization and complexity reduction
Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges
An architecture for a self configurable video supervision
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Mice and larvae tracking using a particle filter with an auto-adjustable observation model
Pattern Recognition Letters
Optimization and Filtering for Human Motion Capture
International Journal of Computer Vision
Gradient-based hand tracking using silhouette data
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
A multi-view vision-based hand motion capturing system
Pattern Recognition
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Features extraction from hand images based on new detection operators
Pattern Recognition
Comparison of stochastic filtering methods for 3D tracking
Pattern Recognition
A Self-Training Approach for Visual Tracking and Recognition of Complex Human Activity Patterns
International Journal of Computer Vision
3D articulated hand tracking based on behavioral model
Transactions on Edutainment VIII
Fuzzy spatial constraints and ranked partitioned sampling approach for multiple object tracking
Computer Vision and Image Understanding
Motion capture of hands in action using discriminative salient points
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Gravity optimised particle filter for hand tracking
Pattern Recognition
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high-dimensionality of the state space. Recently, a new optimization method, called 'Stochastic Meta-Descent' (SMD) has been introduced in computer vision. This is a gradient descent scheme with adaptive and parameter-specific step sizes able to operate in a constrained space. However, while the local optimization works very well, reaching the global optimum is not guaranteed. We therefore propose an enhanced algorithm that wraps a particle filter around multiple SMD-based trackers, which play the role of many particles, i.e. that act as 'smart particles'. After the standard particle propagation on the basis of a simple motion model, SMD is performed and the resulting new particle set is included such that the original Bayesian distribution is not altered. The resulting 'Smart Particle Filter' (SPF) tracks high-dimensional articulated structures with far fewer samples than previous methods. Additionally, it can handle multiple hypotheses and clutter, where pure optimization approaches have problems. Good performance is demonstrated for the case of hand tracking from 3D range data.