Abstract
A new method for hand gesture recognition is proposed which is based on an innovative Self-Growing and Self-Organized Neural Gas (SGONG) network. Initially, the region of the hand is detected by using a color segmentation technique that depends on a skin-color distribution map. Then, the SGONG network is applied on the segmented hand so as to approach its topology. Based on the output grid of neurons, palm geometric characteristics are obtained which in accordance with powerful finger features allow the identification of the raised fingers. Finally, the hand gesture recognition is accomplished through a probability-based classification method.
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References
Chung-Lin, H., Wen-Yi, H.: Sign language recognition using model-based tracking and a 3D Hopfield neural network. Machine Vision and Applications 10, 292–307 (1998)
Chung-Lin, H., Sheng-Hung, J.: A model-based hand gesture recognition system. Machine Vision and Applications 12, 243–258 (2001)
Xiaoming, Y., Ming, X.: Estimation of the fundamental matrix from uncalibrated stereo hand images for 3D hand gesture recognition. Pattern Recognition 36, 567–584 (2003)
Herpers, R., Derpanis, K., MacLean, W.J., Verghese, G., Jenkin, M., Milios, E., Jepson, A., Tsotsos, J.K.: SAVI: an actively controlled teleconferencing system. Image snd Vision Computing 19, 793–804 (2001)
O’ Mara David T.J.: Automated Facial Metrology. Ph.D. Thesis, University of Western Australia, Department of Computer Science and Software Engineering (2002)
Douglas, C., King, N.N.: Face segmentation using skin color map in videophone applications. IEEE Transactions on Circuits and Systems for Video Technology, 551–564 (1999)
Douglas, C., King, N.N.: Locating facial region of a head–and–shoulders color image. In: Third IEEE International Conference on Automatic Face and Gesture Recognition, Nara, Japan, pp. 124–129 (April 1998)
Antonis, A.: Colour Reduction in Digital Images. Ph.D. Thesis, Democritus University of Thrace, Department of Electrical and Computer Engineering (2004)
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© 2005 Springer-Verlag Berlin Heidelberg
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Stergiopoulou, E., Papamarkos, N., Atsalakis, A. (2005). Hand Gesture Recognition Via a New Self-organized Neural Network. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_92
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DOI: https://doi.org/10.1007/11578079_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29850-2
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