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| Structured Gait Feature Expression and Fast Gait Recognition Method |
| WEI Su-Yuan1 2, NING Chao2, GAO You-Xing1 , LI Gang2 |
1. Computer Peripheral Institute,Xidian University,Xian 710071
2.Department of Command Automation,Second Artillery Engineering College,Xian 710025 |
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Abstract When the gait database contains the only gait feature, the larger the number of individuals is, the longer time the recognition algorithm costs and the lower the recognition ratio is. Aiming at this problem, a structured gait feature expression and fast gait recognition method is presented. The structured gait feature are made up of gait information, individual height, sex, age and other information. These feature components are sampled by different sensors and used independently. The proposed gait recognition algorithm utilizes the structured feature to deal with the gait recognition hierarchically. The large identification range is narrowed. The experimental results demonstrate that the proposed method improves the recognition speed and gains higher identification precision.
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Received: 14 February 2011
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[1] Little J K,Boyd J E.Recognizing People by Their Gait: The Shape of Motion.Video: Journal of Computer Vision Research,1998,1(2): 2-32
[2] Han Ju,Bhanu B.Statistical Feature Fusion for Gait-Based Human Recognition // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Washington,USA,2004,II: 842-847
[3] Ma Qinyong,Nie Dongdong,Wang Shenkang.Gait Expression and Recognition Based on Primary Motion Contours.Acta Automatica Sinica,2009,35(5): 519-520 (in Chinese)
(马勤勇,聂栋栋,王申康.基于主运动轮廓线的步态表示与识别.自动化学报,2009,35(5): 519-525)
[4] Chen Changhong,Liang Jimin,Zhao Heng,et al.Factorial HMM and Parallel HMM for Gait Recognition.IEEE Trans on Systems,Man and Cybernetics,2009,39(1): 114-123
[5] Ekinci M.Human Identification Using Gait.Turkish Journal of Electrical Engineering and Computer Sciences,2006,14(2): 267-291
[6] 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
[7] Wang Liang,Ning Huazhong,Tan Tieniu,et al.Fusion of Static and Dynamic Body Biometrics for Gait Recognition.IEEE Trans on Circuit and Systems for Video Technology,2004,14(2): 149-158
[8] Wang Liang,Tan Tieniu,Hu Weiming,et al.Automatic Gait Recognition Based on Statistical Shape Analysis.IEEE Trans on Image Processing,2003,12(9): 1120-1131
[9] Lam T M W,Lee R S T.A New Representation for Human Gait Recognition: Motion Silhouettes Image (MSI) // Proc of the International Conference on Biometrics.Hong Kong,China,2006: 612-618
[10] Zhao Yongwei,Zhang Erhu,Lu Jiwen,et al.Gait Recognition via Multiple Features and Views Information Fusion.Journal of Image and Graphics,2009,14(3): 388-393 (in Chinese)
(赵永伟,张二虎,鲁继文,等.多特征和多视角信息融合的步态识别.中国图象图形学报,2009,14(3): 388-393)
[11] Shakhnarovich G,Lee L,Darrell T.Integrated Face and Gait Recognition from Multiple Views // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Kauai,USA,2001,I: 439-446
[12] Kale A,Roy-chowdhury A,Chellappa R.Fusion of Gait and Face for Human Identification // Proc of the IEEE International Conference on Acoustics,Speech and Signal Processing.Montreal,Canada,2004,V: 901-904
[13] Zhou Xiaoli,Bhanu B,Han Ju.Human Recognition at a Distance in Video by Integrating Face Profile and Gait // Proc of the 5th International Conference on Audio-and Video-Based Biometric Person Authentication.New York,USA,2005: 91-103
[14] Zhou Xiaoli,Bhanu B.Feature Fusion of Face and Gait for Human Recognition at a Distance in Video // Proc of the 18th International Conference on Pattern Recognition.Hong Kong,China,2006,IV: 529-532
[15] Liu Zongyi,Sarkar S.Outdoor Recognition at a Distance by Fusing Gait and Face.Image and Vision Computing,2007,25(6): 817-832
[16] Li Qishen,Lu Zhitian,Zhang Dandan.Integration of Gait and Side Face for Human Recognition in Video // Proc of the 2nd International Symposium on Electronic Commerce and Security.Nanchang,China,2009,II: 65-69
[17] Cuntoor N,Kale A,Chellappad R.Combining Multiple Evidences for Gait Recognition // Proc of the IEEE International Conference on Acoustics,Speech and Signal Processing.Hong Kong,China,2003,III: 13-16
[18] Yun J.User Identification Using Gait Patterns on UbiFloor II.Sensors,2011,11(3): 2611-2639
[19] Jia Lihao,Zou Jianhua,Che Kai.Human Identification Based on 3D Tracking Trajectory of Head Vertex.Acta Automatica Sinica,2011,37(1): 28-36 (in Chinese)
(贾立好,邹建华,车 凯.基于头顶点三维运动轨迹的身份识别新方法.自动化学报,2011,37(1): 28-36)
[20] Su Han,Huang Fenggang.Gait Recognition Using Principal Curves and Neural Networks // Proc of the 3rd International Symposium on Neural Network.Chengdu,China,2006: 238-243
[21] Xue Zhaojun,Li Jia,Ming Dong,et al.SVM-Based Gait Recognition.Journal of Tianjin University,2007,40(1): 78-82 (in Chinese)
(薛召军,李 佳,明 东,等.基于支持向量机的步态识别新方法.天津大学学报,2007,40(1): 78-82)
[22] BenAbdelkader C,Cutler R,Davis L.View-Invariant Estimation of Height and Stride for Gait Recognition // Proc of the International ECCV Workshop on Biometric Authentication.Copenhagen,Denmark,2002: 155-167
[23] Chen Changhong,Zhao Hen,Hu Haihong,et al.Human Motion Analysis Based on Improved Dynamic Texture Model.Pattern Recognition and Artificial Intelligence,2010,23(2): 267-272 (in Chinese)
(陈昌红,赵 恒,胡海虹,等.基于改进动态纹理模型的人体运动分析.模式识别与人工智能,2010,23(2): 267-272)
[24] Zhang Hao,Liu Zhijing.Automated Gait Recognition Using Weighted DTW Distance.Journal of Image and Graphics,2010,15(5): 830-836 (in Chinese)
(张 浩,刘志镜.加权DTW距离的自动步态识别.中国图象图形学报,2010,15(5): 830-836)
[25] Yoo J H,Nixon M S.Automated Markerless Analysis of Human Gait Motion for Recognition and Classification.ETRI Journal,2011,33(2): 259-266
[26] Chen Changyou,Zhang Junpin.An Iterative Gait Prototype Learning Algorithm Based on Tangent Distance.Journal of Computer Research and Development,2008,45(7): 1177-1182 (in Chinese)
(陈昌由,张军平.基于迭代切距离原型学习算法的步态识别.计算机研究与发展,2008,45(7): 1177-1182) |
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2012, Vol. 25 
