Periodic Gesture Recognition From Images - Application of FFT to Time Series of Intensity Values-
作者： Kazunori Umeda , Kota Irie , Masahito Takahashi , Hidetoshi Ogishima , Kenji Terabayashi
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摘要: In this paper, we propose a method to recognize periodic gestures from images. The proposed uses power spectrum and phase that are obtained by applying FFT time series of intesity is applied each pixel the low-resolution consisted 2 steps. First, detects motion regions spectrum. Second, in detected region classify gestures. also robust lighting condition indi- vidual difference skin color, because it does not use color information. To demonstrate effectiveness method, have conducted several experiments show support vector machines well suited
参考文章(19)
Takio Kurita, , Support Vector Machine and Generalization Journal of Advanced Computational Intelligence and Intelligent Informatics. ,vol. 8, pp. 84- 92 ,(2004) , 10.20965/JACIII.2004.P0084
Yoichi Sato, Takahiro Okabe, Support Vector Machines for Object Recognition under Varying Illumination ,(2003)
H. Wu, T. Shioyama, H. Kobayashi, Spotting recognition of head gestures from color image series international conference on pattern recognition. ,vol. 1, pp. 83- 85 ,(1998) , 10.1109/ICPR.1998.711085
Ron Kohavi, A study of cross-validation and bootstrap for accuracy estimation and model selection international joint conference on artificial intelligence. ,vol. 2, pp. 1137- 1143 ,(1995)
Guodong Guo, S.Z. Li, Kapluk Chan, Face recognition by support vector machines ieee international conference on automatic face and gesture recognition. pp. 196- 201 ,(2000) , 10.1109/AFGR.2000.840634
J. Yamato, J. Ohya, K. Ishii, Recognizing human action in time-sequential images using hidden Markov model computer vision and pattern recognition. pp. 379- 385 ,(1992) , 10.1109/CVPR.1992.223161
A.D. Wilson, A.F. Bobick, Parametric hidden Markov models for gesture recognition IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 21, pp. 884- 900 ,(1999) , 10.1109/34.790429
J. Segen, S. Kumar, Shadow gestures: 3D hand pose estimation using a single camera computer vision and pattern recognition. ,vol. 1, pp. 479- 485 ,(1999) , 10.1109/CVPR.1999.786981
Pengyu Hong, M. Turk, T.S. Huang, Gesture modeling and recognition using finite state machines ieee international conference on automatic face and gesture recognition. pp. 410- 415 ,(2000) , 10.1109/AFGR.2000.840667
C. Vogler, D. Metaxas, ASL recognition based on a coupling between HMMs and 3D motion analysis international conference on computer vision. pp. 363- 369 ,(1998) , 10.1109/ICCV.1998.710744