Hand Gesture Recognition using Blob Detection for Immersive Projection Display System

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





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.
[5] P. Kakumanu, S. Makrogiannis, and N. Bourbakis, "A survey of
skin-color modeling and detection methods", Pattern Recogn. 40, 3
(March 2007), pp.1106-1122.
[6] Benjamin D. Zarit, Boaz J. Super, Francis K. H. Quek, “Comparison of
Five Color Models in Skin Pixel Classification”, International Workshop
on Recognition, Analysis, and Tracking of Faces and Gestures in
Real-time Systems, pp. 58-63, September 1999.
[7] Y. Wang and B. Yuan, “A novel approach for human face detection from
color images under complex background”, Pattern Recognition 34(10)
(2001) pp. 1983–1992.
[8] Fu Chang, Chun-Jen Chen, and Chi-Jen Lu, "A linear-time
component-labeling algorithm using contour tracing technique", Comput.
Vis. Image Underst. 93, 2 (February 2004), pp. 206-220.
[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.