基于OpenPose和ST-GCN的步态识别研究
Gait recognition based on OpenPose and ST-GCN
刘艳丽1
作者信息
- 1. 重庆公共运输职业学院公共管理学院,重庆 402247
- 折叠
摘要
根据行人步态具有唯一性,且不受客观因素影响的特点,利用OpenPose提取行人的骨架信息,结合时空图卷积神经网络模型,构建步态识别模型,在步态识别网络中融入注意力机制,可以有效地避免系统陷入局部最优解,使分类模型可以结合骨架的局部信息和全局信息,构建丰富的网络模型,提高识别系统的泛化能力,实验结果显示,达到了较为理想的步态识别效果.
Abstract
According to the unique characteristics of pedestrian gait,which is not affected by objective factors,OpenPose is used to extract the skeleton information of pedestrians.The gait recognition model is constructed by OpenPose and the spatiotempo-ral graph convolutional neural network,which can effectively avoid the system falling into the local optimal solution.The classifica-tion model can combine the local and global information of the skeleton,build a rich network model,and improve the generalization ability of the recognition system.The experimental results show that the ideal gait recognition effect is achieved.
关键词
OpenPose/注意力机制/时空卷积图神经网络Key words
OpenPose/attention mechanism/ST-GCN引用本文复制引用
基金项目
重庆公共运输职业学院青年骨干教师培养计划(第二批)()
出版年
2024
NETL
NSTL
万方数据