Gait recognition based on combined features

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (16): 168-170.

• 图形、图像、模式识别 • Previous Articles Next Articles

Gait recognition based on combined features

JIANG Jia-fu,SONG Yi,YANG Ding-qiang

Department of Computer & Communication Engineering，Changsha University of Science and Technology，Changsha 410076，China

Received:2007-09-10 Revised:2008-01-02 Online:2008-06-01 Published:2008-06-01
Contact: JIANG Jia-fu

基于组合特征的步态识别

蒋加伏,宋艺,杨鼎强

长沙理工大学计算机与通信工程学院，长沙 410076

通讯作者: 蒋加伏

Abstract

Abstract: Gait recognition is a new technique of recognition based on biologic character.In this paper，a new fusion algorithm is suggested wherein the static and dynamic features are fused to obtain optimal performance.The new fusion algorithm divides decision situations into two categories.The wavelet moment is used to describe the static features of gait sequence images，and the three widths of the body contour is used to describe the dynamic features.In addition，the Principal Component Analysis （PCA） for feature transformation of spatial templates is proposed.The experimental results demonstrate that the proposed algorithm performs an encouraging recognition rate.

Key words: gait recognition, wavelet moment, Principal Component Analysis（PCA）

摘要： 基于步态的身份识别是近几年出现的一种新的生物识别技术。提出了一种融合静态特征与动态特征的步态识别方法，该算法使用小波矩描述步态序列图像的静态特征，接着使用主元分析法对小波矩进行降维，而图像的动态特征则用人体轮廓的3个宽度特征来描述。最后，通过实验证明了该算法的有效性。

关键词: 步态识别, 小波矩, 主元分析法

JIANG Jia-fu,SONG Yi,YANG Ding-qiang. Gait recognition based on combined features[J]. Computer Engineering and Applications, 2008, 44(16): 168-170.

蒋加伏,宋艺,杨鼎强. 基于组合特征的步态识别[J]. 计算机工程与应用, 2008, 44(16): 168-170.

[1]	YU Duo, HUANG Yongdong. Hyperspectral Image Classification Based on SPCA and Domain Transform Recursive Filtering [J]. Computer Engineering and Applications, 2021, 57(4): 199-208.
[2]	XU Jian, HUANG Lei, CHEN Qianqian, LU Zhen, WU Shupei. Research on Pedestrian Gait Recognition Based on Multi-scale Feature Transfer Learning [J]. Computer Engineering and Applications, 2021, 57(20): 180-187.
[3]	LIN Kezheng, ZHANG Yuanming, LI Haotian. Research on HOG Feature Extraction Algorithm Weighted by Information Entropy [J]. Computer Engineering and Applications, 2020, 56(6): 147-152.
[4]	HUANG Guangjun, DENG Yuanlong. Polarizer Visual Defect Detection and Classification Based on Improved LBP and SVM Algorithm [J]. Computer Engineering and Applications, 2020, 56(22): 251-255.
[5]	CAO Xiaohang, WANG Lixin, SHU Xueyuan. Radar Emitter Signal Recognition Based on Wavelet Invariant Moment [J]. Computer Engineering and Applications, 2020, 56(19): 269-272.
[6]	CHEN Jia, LIU Dongxue, WU Dashuo. Stock Index Forecasting Method Based on Feature Selection and LSTM Model [J]. Computer Engineering and Applications, 2019, 55(6): 108-112.
[7]	XU Jingze, WU Zuohong, XU Yan, ZENG Jianhang. Face Recognition Based on PCA，LDA and SVM Algorithms [J]. Computer Engineering and Applications, 2019, 55(18): 34-37.
[8]	WANG Hao, XIA Limin. Gait Recognition Based on Stacked Depth Convolution Hourglass Network [J]. Computer Engineering and Applications, 2019, 55(14): 127-133.
[9]	MA Yichao, ZHAO Yunji, ZHANG Xinliang. CNN Handwritten Digital Recognition Algorithm Based on PCA Initialization Convolution Kernel [J]. Computer Engineering and Applications, 2019, 55(13): 134-139.
[10]	HUAN Zhan, LI Chen, WAN Caiyan, CHEN Xuejie. Personnel Identification Based on Walking Acceleration Information Segmentation [J]. Computer Engineering and Applications, 2019, 55(1): 203-209.
[11]	DENG Qingwen, LIN Zhixian, GUO Tailiang. Multi table image hash retrieval method based on principal component [J]. Computer Engineering and Applications, 2018, 54(3): 192-199.
[12]	LIU Pengrui, SONG Lipeng. Using dimension reduction approach to identify malicious JavaScript [J]. Computer Engineering and Applications, 2018, 54(21): 20-24.
[13]	WANG Xianfeng, HUANG Wenzhun, ZHANG Shanwen. Multi-view gait recognition method based on weighted local discriminant canonical correlation analysis [J]. Computer Engineering and Applications, 2018, 54(21): 90-94.
[14]	CHAI Yanmei, HAN Wenying, WANG Jian, WANG Youwei. Study on application of game theory for gait feature selection [J]. Computer Engineering and Applications, 2018, 54(19): 26-33.
[15]	LI Yanan, ZHANG Xuefeng. Cancelable palmprint template method based on secure sketch [J]. Computer Engineering and Applications, 2018, 54(18): 115-120.

Gait recognition based on combined features

基于组合特征的步态识别

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics