Abstract Aiming at the situation that many approaches for gait recognition are based on a single camera, an approach of gait recognition based on stereo vision is proposed. Firstly, 3D coordinates of human body contour are gotten by stereo matching. Then, 3D body contour descriptor (3D-BCD) is constructed to get the gait feature of human. The noise and glitch are eliminated by noise-eliminated method. Thus, manifold learning (Laplacian Eigenmaps) is used for dimensionality reduction. The nearest neighbor classifier (NN) and the nearest neighbor classifier about template (TNN) are used for classifying category. Finally, a series of experiment results on the stereo gait database of PRLABⅡ and the irregular test stereo gait dataset ExN proved out the high correct classification rate and the strong robustness of the proposed approach. And the approach is not related with the distance between camera and the walking path. Moreover, it has stronger robustness with the incomplete gait sequences, the changes of human behavior, the changes of apparels, and carrying a bag.
[1] Little J,Boyd J.Recognizing People by Their Gait: The Shape of Motion.Journal of Computer Vision Research,1998,1(2): 2-32 [2] Bhanu B,Han J.Human Recognition on Combining Kinematic and Stationary Features // Proc of the 4th International Conference on Audio- and Video-Based Biometric Person Authentification.Guilford,UK,2003: 600-608 [3] Wang Liang,Tan Tieniu,Ning Huazhong,et al.Silhouette Analysis-Based Gait Recognition for Human Identification.IEEE Trans on Pattern Analysis and Machine Intelligence,2003,25(12): 1505-1518 [4] Sappa A,Aifanti N,Malassiotis S,et al.3D Gait Estimation from Monoscopic Video // Proc of the 11th International Conference on Image Processing.Singapore,Singapore,2004: 1963-1966 [5] Yu Shigi,Wang Liang,Hu Weiming,et al.Gait Analysis for Human Identification in Frequency Domain // Proc of the 3rd International Conference on Image and Graphics.Hongkong,China,2004: 282-285 [6] Lam T H W,Lee R S T.Human Identification by Using the Motion and Static Characteristic of Gait // Proc of the 18th International Conference on Pattern Recognition.Hongkong,China,2006,Ⅲ: 996-999 [7] Zhou Ziheng,Prügel-Bennett A,Damper R J.A Bayesian Framework for Extracting Human Gait Using Strong Prior Knowledge.IEEE Trans on Pattern Analysis and Machine Intelligence,2006,28(11): 1738-1752 [8] Zhao Guoxing,Li Cui,Li Hua.Gait Recognition Using Fractal Scale.Pattern Analysis Applications,2007,10(3): 235-246 [9] Chen M H,Ho M F,Huang C L.Gait Analysis for Human Identification through Manifold Learning and HMM.Pattern Recognition,2007,41(8): 969-972 [10] Singh S,Biswas K.Spatio-Temporal Energy Based Gait Recognition // Proc of the 9th IEEE International Conference on Data Mining.Miami,USA,2009: 998-1003 [11] Zhang Erhu,Zhao Yongwei,Xiong Wei.Active Energy Image plus 2DLPP for Gait Recognition.Signal Processing,2010,90(7): 1-24 [12] Grimson W E L.Gait Analysis for Recognition and Classification // Proc of the 5th IEEE International Conference on Automatic Face and Gesture Recognition.Washington,USA,2002: 155-162 [13] Cuntoor N,Kale A,Chellappa R.Combining Multiple Evidences for Gait Recognition // Proc of the International Conference on Acoustics,Speech and Signal Processing.Hong Kong,China,2003,Ⅲ: 113-116 [14] Zhao Guoying,Liu Guoying,Li Hua,et al.3D Gait Recognition Using Multiple Cameras // Proc of the 7th International Conference on Automatic Face and Gesture Recognition.Southampon,UK,2006: 529-534 [15] Pandey N,Abdulla W,Salcic Z.Gait-Based Person Identification Using Multi-View Sub-Vector Quantisation Technique // Proc of the 9th International Symposium on Signal Processing and Its Applications.Sharjah,United Arab Emirates,2007: 1-4 [16] Ming Dong,Zhang Cong,Bai Yanru.et al.Gait Recognition Based on Multiple Views Fusion of Wavelet Descriptor and Human Skeleton Model // Proc of the IEEE International Conference on Virtual Environments,Human-Computer Interfaces and Measurements Systems.Hong Kong,China,2009: 246-249 [17] Huang Xiaxi,Boulgouris N V.Human Gait Recognition Based on Multiview Gait Sequences.EURASIP Journal on Advances in Signal Processing,2008,(1): 1-9 [18] Kusakunniran W,Wu Q,Li H,et al.Multiple Views Gait Recognition Using View Transformation Model Based on Optimized Gait Energy Image // Proc of the 2nd IEEE International Workshop on Tracking Humans for the Evaluation of Their Motion in Image Sequences.Kyoto,Japan,2009: 1058-1064 [19] Yang Y H,Levine M D.The Background Primal Sketch: An Approach for Tracking Moving Objects.Machine Vision and Applications,1992,5(1): 17-34 [20] Kuno Y,Watanabe T,Shimosakoda Y,et al.Automated Detection of Human for Visual Surveillance System // Proc of the International Conference on Pattern Recognition.Vienna,Austria,1996,Ⅲ: 865-869 [21] Liu Haitao,Cao Yang,Wang Zengfu.A Novel Algorithm of Gait Recognition // Proc of the 1st International Conference on Wireless Communications and Signal Processing,Nanjing,China,2009: 1-5 [22] Roweis S T,Saul L K.Nonlinear Dimensionality Reduction by Locally Linear Embedding.Science,2000,290(5500): 2323-2326 [23] Tenenbaum J B,de Silva D,Langford J C.A Global Geometric Framework for Nonlinear Dimensionality Reduction.Science,2000,290(5500): 2319-2323 [24] Belkin M,Niyogi P.Laplacian Eigenmaps for Dimensionality Reduction and Data Representation.Neural Computation,2003,15(6): 1373-1396 [25] Phillips P J,Moon H,Rizvi S A,et al.The FERET Evaluation Methodology for Face-Recognition Algorithms.IEEE Trans on Pattern Analysis and Machine Intelligence,2000,22(10): 1090-1104 [26] Ekinci M.Automatic Gait Recognition by Multi-Projection Analysis // Proc of the 19th International Conference on Industrial Engineering and Other Applications of Applied Intelligent System.Annecy,France,2006: 500-509 [27] Lu Jiwen,Zhang Erhu.Gait Recognition for Human Identification Based on ICA and Fuzzy SVM through Multiple Views Fusion.Pattern Recognition Letters,2007,28(16): 2401-2411 [28] Zhang Qianjin,Xu Suli.Gait-Based Recognition of Human Using an Embedded Hidden Markov Models // Proc of the International Conference on Information Engineering and Computer Science.Wuhan,China,2009: 1-4 [29] Hong S,Lee H,Kim E.Automatic Gait Recognition Using Width Vector Mean // Proc of the 4th IEEE Conference on Industrial Electronics and Applications.Xian,China,2009: 647-650 [30] Zhang Erhu,Ma Huabing,Lu Jiwen,et al.Gait Recognition Using Dynamic Gait Energy and PCA+LPP Method // Proc of the 8th International Conference on Machine Learning and Cybernetics.Baoding,China,2009: 50-53
2011, Vol. 24 
