DocumentCode
2482943
Title
Real time appearance based hand tracking
Author
Donoser, Michael ; Bischof, Horst
Author_Institution
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
This paper introduces a real-time method for tracking hands through image sequences. Our method combines efficiently calculated color likelihood maps with a modified version of the maximally stable extremal region (MSER)-tracker. The proposed algorithm allows to robustly track hands through image sequences and additionally provides accurate hand segmentations per frame. Experimental evaluation proves the high accuracy of the segmentation results and a first application for human-computer interaction is presented.
Keywords
human computer interaction; image colour analysis; image sequences; target tracking; color likelihood maps; hand tracking; human-computer interaction; image sequences; maximally stable extremal region tracker; real-time method; Application software; Color; Filtering; Gaussian distribution; Image segmentation; Image sequences; Particle tracking; Probability; Robustness; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761485
Filename
4761485
Link To Document