Gesture Recognition Using Stereo Tracking Initiator and HMM for Tele-Operation


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 8, pp. 2262-2270, Aug. 1999
10.3745/KIPSTE.1999.6.8.2262,   PDF Download:

Abstract

In this paper, we describe gesture recognition algorithm using computer vision sensor and HMM. The automatic hand region extraction has been proposed for initializing the tracking of the tele-operation gestures. For this, distance informations(display map) as results of stereo matching of initial left and right images are employed to isolate the hand region from a scene. PDOE(positive difference of edges) feature images adapted here have been found to be robust against noise and background brightness. The KNU/KAERI(K/K) gesture instruction set is defined for tele-operation in atomic electric power stations. The composite recognition model constructed by concatenating three gesture instruction models including pre-orders, basic orders, and post-orders has been proposed and identified by discrete HMM. Our experimental results showed that consecutive orders composed of more than two ones are correctly recognized at the rate of above 97%.


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Cite this article
[IEEE Style]
J. J. Won, L. Y. Bum, C. S. Il, "Gesture Recognition Using Stereo Tracking Initiator and HMM for Tele-Operation," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 8, pp. 2262-2270, 1999. DOI: 10.3745/KIPSTE.1999.6.8.2262.

[ACM Style]
Jeong Jee Won, Lee Yong Bum, and Chien Sung Il. 1999. Gesture Recognition Using Stereo Tracking Initiator and HMM for Tele-Operation. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 8, (1999), 2262-2270. DOI: 10.3745/KIPSTE.1999.6.8.2262.