Research On Algorithm Of Human Gait Recognition Based On Sparse Representation

被引：0
|
作者：
Guan, Y. D. [1 ]
Zhu, R. F. [1 ]
Feng, J. Y. [1 ]
Du, K. [2 ]
Zhang, X. R. [1 ]
机构：
[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin, Peoples R China
[2] Univ Technol Belfort Montbeliard, FEMTO ST Inst, Belfort, France
来源：
PROCEEDINGS OF 2016 SIXTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2016) | 2016年
关键词：
Gait Recognition; Shifted Energy Image; Sparse Represatation; Local Binary Pattern; Gabor Wavelet feature; IMAGE; FACE;
D O I：
10.1109/IMCCC.2016.71
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
when the gait feature is recognized, it will be hard to meet the real-time need due to the complexity and long calculated time of the recognition algorithm. Under this circumstance, a novel sparse representation based human gait recognition method is put forth which is based on. First of all, human silhouette is established and gait period is calculated. Next, we adopt Shifting Energy Image (SEI) as the feature of image and then extract Gabor Wavelet and Local Binary Pattern features. Finally, gait feature will be classified and recognized by using sparse representation. CASIA B gait database will be used in the experiment with a view of 90 degrees. The result witnesses that this method has higher recognition rate and can meet the needs of real-time.
引用
收藏
页码：405 / 410
页数：6
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