A review of neural network-based gait recognition

被引：1
|
作者：
Pian, Jinxiang [1 ]
He, Tingyu [1 ]
Zhang, Shunchao [1 ]
机构：
[1] Shenvang lianzhlt Univ, Sch Elect & Control Engn, Shenyang 1106, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
关键词：
Neural networks; Gait recognition; Class energy maps; IMAGE; MODEL;
D O I：
10.1109/CCDC58219.2023.10326947
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is a comprehensive and structured introduction to existing neural network-based gait recognition methods. it begins with an overall introduction to gait recognition in the first part, which describes the advantages of gait recognition. Application areas. In the second part, the development of gait recognition and the evolution of deep learning in gait recognition are introduced. The third part starts with the most popular types of feature representation class energy maps, and details the advantages, disadvantages and roles of different classes of energy maps; the fourth part starts with the most popular types of neural networks for gait recognition classification, and details the role of different types of neural networks in gait recognition.Finally, we discuss the current challenges and put forward some promising directions for the future research ofgait recognition.
引用
收藏
页码：213 / 218
页数：6
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