Tracking Discontinuous Motion Using Bayesian Inference
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Robust finger tracking for wearable computer interfacing
Proceedings of the 2001 workshop on Perceptive user interfaces
A Camera-Based Input Device for Large Interactive Displays
IEEE Computer Graphics and Applications
Browsing the environment with the SNAP&TELL wearable computer system
Personal and Ubiquitous Computing
A CMOS camera-based man-machine input device for large-format interactive displays
ACM SIGGRAPH 2007 courses
MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
Computer Vision and Image Understanding
Vision-based hand pose estimation: A review
Computer Vision and Image Understanding
CBIR approach to the recognition of a sign language alphabet
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Real-time hand posture recognition using range data
Image and Vision Computing
A novel face and hands tracking in a complex background
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Efficient fingertip tracking and mouse pointer control for a human mouse
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
CBIR over multiple projections of 3D objects
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Human-centered visualization environments
Human-centered visualization environments
Usage and recognition of finger orientation for multi-touch tabletop interaction
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
| Hi-index | 0.00 |
This paper gives an overview of a system for robustly tracking the 3D position and orientation of a finger using a few closely spaced cameras. Accurate results are obtained by combining features of stereo range images and color images. This work also provides a design framework for combining multiple sources of information, including stereo range images, color segmentations, shape information and various constraints. This information is used in robust model fitting techniques to track highly over-constrained models of deformable objects: fingers.