Vision-based hand Gesture Detection and Tracking System 


Vol. 30,  No. 12, pp. 1175-1180, Dec.  2005


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  Abstract

We present a vision-based hand gesture detection and tracking system. Most conventional hand gesture recognition systems utilize a simpler method for hand detection such as background subtractions with assumed static observation conditions and those methods are not robust against camera motions, illumination changes, and so on. Therefore, we propose a statistical method to recognize and detect hand regions in images using geometrical structures. Also, Our hand tracking system employs multiple cameras to reduce occlusion problems and non-synchronous multiple observations enhance system scalability. In this experiment, the proposed method has recognition rate of 99.28% that shows more improved 3.91% than the conventional appearance method.

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  Cite this article

[IEEE Style]

H. Park and C. Bae, "Vision-based hand Gesture Detection and Tracking System," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 12, pp. 1175-1180, 2005. DOI: .

[ACM Style]

Ho-Sik Park and Cheol-soo Bae. 2005. Vision-based hand Gesture Detection and Tracking System. The Journal of Korean Institute of Communications and Information Sciences, 30, 12, (2005), 1175-1180. DOI: .

[KICS Style]

Ho-Sik Park and Cheol-soo Bae, "Vision-based hand Gesture Detection and Tracking System," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 12, pp. 1175-1180, 12. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880