Hand Gesture Recognition using Blob Detection for Immersive Projection Display System
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Hand Gesture Recognition using Blob Detection for Immersive Projection Display System

Authors: Hasup Lee, Yoshisuke Tateyama, Tetsuro Ogi

Abstract:

We developed a vision interface immersive projection system, CAVE in virtual rea using hand gesture recognition with computer vis background image was subtracted from current webcam and we convert the color space of the imag Then we mask skin regions using skin color range t a noise reduction operation. We made blobs fro gestures were recognized using these blobs. Using recognition, we could implement an effective bothering devices for CAVE. e framework for an reality research field vision techniques. ent image frame age into HSV space. e threshold and apply from the image and ing our hand gesture e interface without

Keywords: CAVE, Computer Vision, Ges Virtual Reality esture Recognition,

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055681

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References:


[1] Hasup Lee, Yoshisuke Tateyama and Tetsuro Ogi, "Realistic Visual Environment for Immersive Projection Display System", The 16th International Conference on Virtual Systems and Multimedia, pp.128-132, October 2010.
[2] Hasup Lee, Yoshisuke Tateyama and Tetsuro Ogi, "Panoramic Stereo Representation for Immersive Projection Display System", The 9th International Conference on VRCAI (VR Continuum and Its Applications in Industry), pp.379-382, December 2010.
[3] Hasup Lee, Yoshisuke Tateyama and Tetsuro Ogi, "Image-based Stereo Background Modeling for CAVE System", International Symposium on VR innovation (ISVRI) 2011, March 2011.
[4] Hasup Lee, Yoshisuke Tateyama and Tetsuro Ogi, "Unaffected User Interface for CAVE using Motion Templates Method", International Journal of Control and Automation (ISSN: 2005-4297), To be published.
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[9] Y. Tateyama, S. Oonuki, S. Sato, and T. Ogi, "K-Cave demonstration: Seismic information visualization system using the OpenCABIN library," Proceedings of the ICAT 2008, pp. 363-364, 2008.