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
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
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Tracking of deformable human hand in real time as continuous input for gesture-based interaction
Proceedings of the 12th international conference on Intelligent user interfaces
Fast stochastic optimization for articulated structure tracking
Image and Vision Computing
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
Hand gesture recognition with a novel IR time-of-flight range camera: a pilot study
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Musical-based interaction system for the Waseda Flutist Robot
Autonomous Robots
A multi-view vision-based hand motion capturing system
Pattern Recognition
An improvement on resampling algorithm of particle filters
IEEE Transactions on Signal Processing
Articulated body tracking by immune particle filter
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
International Journal of Robotics Research
3D hand tracking for human computer interaction
Image and Vision Computing
A brief review of vision based hand gesture recognition
CSECS'11/MECHANICS'11 Proceedings of the 10th WSEAS international conference on Circuits, Systems, Electronics, Control & Signal Processing, and Proceedings of the 7th WSEAS international conference on Applied and Theoretical Mechanics
Robust hand tracking by integrating appearance, location and depth cues
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Dynamics based 3D skeletal hand tracking
Proceedings of Graphics Interface 2013
Computer Vision and Image Understanding
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Solving the tracking of an articulated structure in a reasonable time is a complex task mainly due to the high dimensionality of the problem. A new optimization method, called Stochastic Meta-Descent (SMD), based on gradient descent with adaptive and parameter specific step sizes was introduced recently [1] to solve this challenging problem. While the local optimization works very well, reaching the global optimum is not guaranteed. We therefore propose a novel algorithm which combines the SMD optimization with a particle filter to form 'smart particles'. After propagating the particles, 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, clutter and occlusion which pure optimization approaches have problems. The performance of the SMD particle filter is illustrated in challenging 3D hand tracking sequences demonstrating a better robustness and accuracy than those of a single SMD optimization or an annealed particle filter.