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 conferenceObject |
URI: | http://wscg.zcu.cz/WSCG2014/!!_2014-Posters-Proceedings.pdf http://hdl.handle.net/11025/11948 |
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 |
Files in This Item:
File | Description | Size | Format | |
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Endler.pdf | Plný text | 2,13 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11948
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