Title :
Real time appearance based hand tracking
Author :
Donoser, Michael ; Bischof, Horst
Author_Institution :
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz
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;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761485
