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

  • Beihang University

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

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1667-1672
Number of pages6
ISBN (Electronic)9781665422482
DOIs
StatePublished - 1 Aug 2021
Event16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 - Chengdu, China
Duration: 1 Aug 20214 Aug 2021

Publication series

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

Conference

Conference16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
Country/TerritoryChina
CityChengdu
Period1/08/214/08/21

Keywords

  • Human action recognition
  • Infrared heat map
  • semantic analysis
  • Thermopile array sensor

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