光电工程, 2017, 44 (4): 468, 网络出版: 2017-07-10  

Gait recognition using GEI and Curvelet

Gait recognition using GEI and Curvelet
作者单位
1 Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin Polytechnic University, Tianjin 300387, China
2 College of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin 300387, China
3 School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, NSW 2522, Australia
摘要
Abstract
International and domestic academics are attracted by biometric features recognition, because the intelligent monitor-ing, which is the basis of social security, is more and more required by people. Compared with other biometric features (face, iris fingerprint and so on), gait feature has its advantages, such as acceptability, noninvasiveness, hard to hide and easy to be collected. Gait recognition, recognizing different persons by the way of his/her walking, which has some ad-vantages such as non-contact, low demand in image quality and difficult disguise, is the most potentially biological recognition technology by the way of one’s walking. Recently, the research of gait recognition is a hot topic in the field of computer vision, entrance guard system and medical diagnose, which has extensive realistic significance and wide ap-plying foreground.

Jing Luo, Chunyuan Zi, Jianliang Zhang, Yue Liu. Gait recognition using GEI and Curvelet[J]. 光电工程, 2017, 44(4): 468. Jing Luo, Chunyuan Zi, Jianliang Zhang, Yue Liu. Gait recognition using GEI and Curvelet[J]. Opto-Electronic Engineering, 2017, 44(4): 468.

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