Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

A unified system for segmentation and tracking of face and hands in sign language recognition

Awad, George M. and Han, Junwei and Sutherland, Alistair (2006) A unified system for segmentation and tracking of face and hands in sign language recognition. In: ICPR 2006 - 18th International Conference on Pattern Recognition, 20-24 August 2006, Hong Kong, China.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
161Kb

Abstract

This paper presents a unified system for segmentation and tracking of face and hands in a sign language recognition using a single camera. Unlike much related work that uses colour gloves, we detect skin by combining 3 useful features: colour, motion and position. These features together, represent the skin colour pixels that are more likely to be foreground pixels and are within a predicted position range. We extend the previous research in occlusion detection to handle occlusion between any of the skin objects using a Kalman filter based algorithm. The tracking improves the segmentation by reducing the search space and the segmentation enhances the overall tracking process. The algorithm is tested on several video sequences from a standard database and can provide a very low error rate

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Kalman filters; computer vision; face recognition; gesture recognition; image colour analysis; image motion analysis; skin; tracking;
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/ICPR.2006.194
Copyright Information:Copyright © 2006 IEEE. Reprinted from ICPR 2006 - 18th International Conference on Pattern Recognition. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
ID Code:225
Deposited On:05 Mar 2008 by DORAS Administrator. Last Modified 02 Feb 2009 16:14

Download statistics

Archive Staff Only: edit this record