Human Gait Gender Classification in Spatial and Temporal Reasoning
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[1] Massimo Piccardi,et al. Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[2] Mark S. Nixon,et al. Automatic Recognition by Gait , 2006, Proceedings of the IEEE.
[3] G. Sainarayanan,et al. Palmprint Based Biometric System: A Comparative Study on Discrete Cosine Transform Energy, Wavelet Transform Energy and SobelCode Methods , 2009 .
[4] Shih-Hsu Chang,et al. A Lossless Data Hiding based on Discrete Haar Wavelet Transform , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.
[5] Qinghan Xiao,et al. Technology review - Biometrics-Technology, Application, Challenge, and Computational Intelligence Solutions , 2007, IEEE Computational Intelligence Magazine.
[6] Y. Meyer,et al. Wavelets and Filter Banks , 1991 .
[7] Saeid Nahavandi,et al. A Review of Vision-Based Gait Recognition Methods for Human Identification , 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications.
[8] W. T. Dempster,et al. Properties of body segments based on size and weight , 1967 .
[9] Xuelong Li,et al. Gait Components and Their Application to Gender Recognition , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[10] Stephen Lin,et al. Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval , 2007, IEEE Transactions on Image Processing.
[11] Achmad Basuki,et al. A Review of Chinese Academy of Sciences (CASIA) Gait Database As a Human Gait Recognition Dataset , 2011 .
[12] M. Hanmandlu,et al. An Experimental Study of Different Features for Face Recognition , 2011, 2011 International Conference on Communication Systems and Network Technologies.
[13] Matjaz Gams,et al. Medically Driven Data Mining Application: Recognition of Health Problems from Gait Patterns of Elderly , 2010, 2010 IEEE International Conference on Data Mining Workshops.
[14] B L Gunjal,et al. Discrete Wavelet Transform Based Strongly Robust Watermarking Scheme for Information Hiding in Digital Images , 2010, 2010 3rd International Conference on Emerging Trends in Engineering and Technology.
[15] Shusaku Nomura,et al. Determination of Age and Gender Based on Features of Human Motion Using AdaBoost Algorithms , 2011, Int. J. Soc. Robotics.
[16] B. Bakshi. Multiscale PCA with application to multivariate statistical process monitoring , 1998 .
[17] D. Hatzinakos,et al. Gait recognition: a challenging signal processing technology for biometric identification , 2005, IEEE Signal Processing Magazine.
[18] Kohei Arai,et al. Human Gait Gender Classification using 2D Discrete Wavelet Transforms Energy , 2011 .
[19] M. Nixon,et al. Automated Human Recognition by Gait using Neural Network , 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.
[20] Youngjoon Han,et al. Adaptive Gait Pattern Generation of Biped Robot based on Human's Gait Pattern Analysis , 2007 .
[21] Tieniu Tan,et al. A Study on Gait-Based Gender Classification , 2009, IEEE Transactions on Image Processing.
[22] Koichi Niijima,et al. DESIGN OF BIORTHOGONAL WAVELET FILTERS USING DYADIC LIFTING SCHEME , 2005 .
[23] Yiding Wang,et al. Combining Spatial and Temporal Information for Gait Based Gender Classification , 2010, 2010 20th International Conference on Pattern Recognition.
[24] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .
[25] W. Eric L. Grimson,et al. Gait analysis for recognition and classification , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[26] Yunhong Wang,et al. Gender Classification Based on Fusion of Multi-view Gait Sequences , 2007, ACCV.
[27] Kenichi Takahashi,et al. Robustness Evaluation of Digital Watermarking Based on Discrete Wavelet Transform , 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.