Abstract
The hand gesture shape is the most remarkable feature for gesture recognition system. Since hand gesture is diversity, polysemy, complex deformation and spatio-temporal difference, the hand gesture shape descriptor is a challenging problem for gesture recognition. This paper presents a hand gesture shape describing method based on energy-ratio and normalized Fourier descriptors. Firstly, the hand gesture contour of the input image is extracted by YCb’Cr’ ellipse skin color model. Secondly, the Fourier coefficients of the contour are calculated to transform the point sequence of the contour to frequency domain. Then the Fourier coefficients are normalized to meet the rotation, translation, scaling and curve origin point invariance. Finally, the items of normalized Fourier coefficients are selected by calculating energy-ratio information as the hand shape descriptors. For validating the shape descriptors performance, the hand gestures 1-10 are recognized with the template matching method and the shape descriptor method, respectively. The experiment results show that the method can well describe the hand shape information and are higher recognition rate.
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References
Elli, A.: Understanding The Color of Human Skin. In: Proceeding of the SPIE Conference on Human Vision and Electronic Imaging VI (SPIE), pp. 243–251. SPIE Press (2001)
Yang, J., Lu, W., Waibel, A.: Skin-Color Modeling and Adaptation. In: Chin, R., Pong, T.-C. (eds.) ACCV 1998. LNCS, vol. 1352, pp. 687–694. Springer, Heidelberg (1997)
Bradski, G., Yeo, B., Minerva, M.Y.: Gesture for Video Current Navigation. In: SPIE IS&T/SPIE, vol. 36, pp. 230–242 (1999)
Kawulok, M.: Fast Propagation-based Skin Regions Segmentation in Color Images. In: Proc. IEEE FG, pp. 1–7. IEEE Press (2013)
Nalepa, J., Grzejszczak, T., Kawulok, M.: Wrist Localization in Color Images for Hand Gesture Recognition. In: Gruca, A., Czachórski, T., Kozielski, S. (eds.) Man-Machine Interactions 3. AISC, vol. 242, pp. 81–90. Springer, Heidelberg (2014)
Ang, Y.H., Li, Z., Ong, S.H.: Image Retrieval Based on Multidimensional Feature Properties. In: SPIE, vol. 24, pp. 47–57 (1995)
Hu, M.K.: Visual Pattern Recognition by Moment Invariants. IEEE Trans. Informaiton Theory 8, 179–187 (1962)
Xu, J.: Morphological Decomposition of 2-D Binary Shapes Into Modestly Overlapped Octagonal and Disk Components. IEEE Transactions on Image Processing 16, 337–348 (2007)
Gupta, L., Sayeh, M.R., Tammana, R.: Neural Network Approach to Robust Shape Classification. Pattern Recognition 23, 563–568 (1990)
Taylor, R., Lewis, P.H.: 2D Shape Signature Based on Fractal Measurements. IEEE Proceedings -Vision, Image and Signal Processing 4, 422–430 (1994)
Zhan, C.T., Roskies, R.Z.: Fourier Descriptors for Plane Closed Curves. IEEE Trans. Computer 21, 269–281 (1972)
Persoon, E., Fu, K.S.: Shape Discrimination Using Fourier Descripters. IEEE Trans. System, Man, Cybernetics 7, 170–179 (1997)
Drolon, H., Druaux, F., Faure, A.: Particles Shape Analysis and Classification Using The Wavelet Transform. Pattern Recognition Letters 21, 473–482 (2000)
Hsu, R.L., Jain, A.K.: Face Detection in Color Images. IEEE Transactions Pattern Analysis and Machine Intelligence 24, 696–706 (2002)
Tan, W.J., Dai, G.Y., Su, H., Feng, Z.Y.: Gesture Segmentation Based on YCb’Cr’ Color Space Ellipse Fitting Skin Color Modeling. In: The 24th Chinese Control and Decision Conference (CCDC), pp. 1905–1908. IEEE Press, Taiyuan (2012)
Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital image processing using MATLAB. Publishing House of Electronics Industry, Beijing (2005)
Wang, T., Liu, W.Y., Sun, J.G., Zhang, H.J.: Using Fourier Descriptors to Recognize Object’s Shape. Journal of Computer Research and Development 39, 1714–1719 (2002)
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Tan, W., Bian, Z., Yang, J., Geng, H., Gong, Z., Zhao, D. (2014). Hand Gesture Shape Descriptor Based on Energy-Ratio and Normalized Fourier Transform Coefficients. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_5
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DOI: https://doi.org/10.1007/978-3-319-11897-0_5
Publisher Name: Springer, Cham
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