Tracking and data association
A probabilistic Hough transform
Pattern Recognition
Least-Squares Estimation of Transformation Parameters Between Two Point Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active vision
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DigitEyes: Vision-Based Human Hand Tracking
DigitEyes: Vision-Based Human Hand Tracking
Robust Real-Time Face Detection
International Journal of Computer Vision
Improved Adaptive Gaussian Mixture Model for Background Subtraction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
Fast 2D Hand Tracking with Flocks of Features and Multi-Cue Integration
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 10 - Volume 10
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A modular approach to gesture recognition for interaction with a domestic service robot
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Model-based hand pose estimation via spatial-temporal hand parsing and 3D fingertip localization
The Visual Computer: International Journal of Computer Graphics
Hi-index | 0.00 |
We propose a novel method for planar hand detection from a single uncalibrated image, with the purpose of estimating the articulated pose of a generic model, roughly adapted to the current hand shape. The proposed method combines line and point correspondences, associated to finger tips, lines and concavities, extracted from color and intensity edges. The method robustly solves for ambiguous association issues, and refines the pose estimation through nonlinear optimization. The result can be used in order to initialize a contour-based tracking algorithm, as well as a model adaptation procedure.