Bimanual hand tracking

Authors:
Hye-Jin Kim;Keun-Chang Kwak;Jaeyeon Lee
Affiliations:
Human Robot Interaction Research Team, Intelligent Robot Research Division, ETRI, Daejeon, Korea;Human Robot Interaction Research Team, Intelligent Robot Research Division, ETRI, Daejeon, Korea;Human Robot Interaction Research Team, Intelligent Robot Research Division, ETRI, Daejeon, Korea
Venue:
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Year:
2006

Citing 3
Cited 1

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FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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Hand posture recognition using real-time artificial evolution

EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I

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Abstract

This paper proposes a novel real-time hand tracking algorithm in the presence of occlusion. For this purpose, we construct a limb model and maintain the model obtained from ARKLT methods with respect to second-order auto-regression model and Kanade-Lucas-Tomasi(KLT) features, respectively. Furthermore, this method do not require to categorize types of superimposed hand motion based on directivity obtained by the slope’s direction of KLT regression. Thus, we can develop a method of hand tracking for gesture and activity recognition techniques frequently used in conjunction with Human-Robot Interaction (HRI) components.