DocumentCode
3499327
Title
Framework for a portable gesture interface
Author
Wagner, Sébastien ; Alefs, Bram ; Picus, Cristina
Author_Institution
Advanced Comput. Vision GmbH, Wien
fYear
2006
fDate
2-6 April 2006
Firstpage
275
Lastpage
280
Abstract
Gesture recognition is a valuable extension for interaction with portable devices. This paper presents a framework for interaction by hand gestures using a head mounted camera system. The framework includes automatic activation using AdaBoost hand detection, tracking of chromatic and luminance color modes based on adaptive mean shift and pose recognition using template matching of the polar histogram. The system achieves 95% detection rate and 96% classification accuracy at real time processing, for a non-static camera setup and cluttered background
Keywords
gesture recognition; image colour analysis; image segmentation; image sensors; portable computers; AdaBoost hand detection; adaptive mean shift; gesture recognition; hand gestures; head mounted camera system; polar histogram; portable gesture interface; pose recognition; template matching; Cameras; Computer vision; Context-aware services; Histograms; Lighting; Real time systems; Robustness; Shape; Switches; Visual communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on
Conference_Location
Southampton
Print_ISBN
0-7695-2503-2
Type
conf
DOI
10.1109/FGR.2006.54
Filename
1613032
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