Title: Human-Computer Interaction Using Robust Gesture Recognition
Authors: Endler, Matthias
Lobachev, Oleg
Guthe, Michael
Citation: WSCG 2014: Poster Papers Proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 45-48.
Issue Date: 2014
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2014/!!_2014-Posters-Proceedings.pdf
ISBN: 978-80-86943-72-5
Keywords: interakce člověk-počítač;rozpoznávání gest;počítačové vidění;sledování rukou
Keywords in different language: human computer interaction;gesture recognition;computer vision;hand tracking
Abstract: We present a detector cascade for robust real-time tracking of hand movements on consumer-level hardware. We adapt existing detectors to our setting: Haar, CAMSHIFT, shape detector, skin detector. We use all these detectors at once. Our main contributions are: first, utilization of bootstrapping: Haar bootstraps itself, then its results are used to bootstrap the other filters; second, the usage of temporal filtering for more robust detection and to remove outliers; third, we adapted the detectors for more robust hand detection. The resulting system produces very robust results in real time. We evaluate both the robustness and the real-time capability.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2014: Poster Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11948

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