跳到主要导航 跳到搜索 跳到主要内容

Human Action Recognition Based on State Detection in Low-resolution Infrared Video

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper proposes a recognition method of human action based on the states in infrared image frames of thermopile array sensors. Two sensors are used for the top-side deployment. Each frame data collected by the thermopile array sensor is called infrared heat map with a resolution 24×32. It is sequentially processed by the quantification, time-domain filtering and background removal operations. Then those processed data are used for the training of state detection models. The state detection models detect the state of the human target in each of frame, and the state sequence is obtained. Finally, A semantic analysis method functions on the state sequence and converts it into the corresponding action. The experimental results have shown that the proposed method can recognize human actions correctly.

源语言英语
主期刊名Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
出版商Institute of Electrical and Electronics Engineers Inc.
1667-1672
页数6
ISBN(电子版)9781665422482
DOI
出版状态已出版 - 1 8月 2021
活动16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 - Chengdu, 中国
期限: 1 8月 20214 8月 2021

出版系列

姓名Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021

会议

会议16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
国家/地区中国
Chengdu
时期1/08/214/08/21

学术指纹

探究 'Human Action Recognition Based on State Detection in Low-resolution Infrared Video' 的科研主题。它们共同构成独一无二的学术指纹。

引用此