Skeleton-based Human Action Recognition in Low-Resolution Infrared Images

  • Linzi Min
  • , Bo Yang*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a recognition method of human action based on human skeleton extraction in low resolution infrared images, which are collected by two thermopile infrared array deployed on the side. Each frame of image is processed sequentially through quantification, interpolation and background removal operations, and the original human skeleton data is then extracted using a thinning algorithm. A standard human skeleton model is established and fitted to acquire the standard human skeleton data. Finally, the continuous human action is divided into several separate actions, and an LSTM network is used for human action recognition. The experimental results have demonstrated that the proposed method can achieve an accurate recognition of human actions.

Original languageEnglish
Title of host publicationProceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
EditorsWenjian Cai, Guilin Yang, Jun Qiu, Tingting Gao, Lijun Jiang, Tianjiang Zheng, Xinli Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1363-1368
Number of pages6
ISBN (Electronic)9798350312201
DOIs
StatePublished - 2023
Event18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 - Ningbo, China
Duration: 18 Aug 202322 Aug 2023

Publication series

NameProceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

Conference

Conference18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
Country/TerritoryChina
CityNingbo
Period18/08/2322/08/23

Keywords

  • Human action recognition
  • Low Resolution Infrared Image
  • Skeleton extraction
  • Skeleton fitting
  • Thermopile infrared array sensor

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