Design of Human Posture Recognition System Integrating Computer Vision and Deep Learning Algorithm

Jinquan Chu*, Haoyi Wang, Anxing Dong, Yuming Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceedings published in a bookpeer-review

Abstract

In this article, a human posture recognition model combining computer vision and deep learning (DL) algorithm is proposed. Under the condition of keeping the data structure and sample labels unchanged, the model randomly cuts the video frame images by using the horizontal translation matrix, which effectively expands the data set samples, thus reducing the risk of over-fitting of the model to some extent. The experimental results show that the improved human target detection algorithm in this article can effectively improve the detection performance of the algorithm, and the computational complexity of the human posture recognition algorithm is small, which increases the correlation between adjacent video frames in the recognition process, and improves the accuracy of posture recognition while ensuring real-time. The realization of this algorithm is of great significance for building a simplified human posture recognition system with high response and accuracy.

Original languageEnglish
Title of host publicationProceedings - 2023 International Conference on Power, Electrical Engineering, Electronics and Control, PEEEC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages465-469
Number of pages5
ISBN (Electronic)9798350329124
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 International Conference on Power, Electrical Engineering, Electronics and Control, PEEEC 2023 - Athens, Greece
Duration: 25 Sept 202327 Sept 2023

Publication series

NameProceedings - 2023 International Conference on Power, Electrical Engineering, Electronics and Control, PEEEC 2023

Conference

Conference2023 International Conference on Power, Electrical Engineering, Electronics and Control, PEEEC 2023
Country/TerritoryGreece
CityAthens
Period25/09/2327/09/23

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Computer vision
  • Deep learning
  • Human posture recognition
  • Object detection

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