Real-Time facial expression recognition based on cnn

研究成果: 書貢獻/報告類型會議論文篇章

19 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a method for improving the robustness of real-Time facial expression recognition. Although there are many ways to improve the accuracy of facial expression recognition, a revamp of the training framework and image preprocessing allow better results in applications. One existing problem is that when the camera is capturing images in high speed, changes in image characteristics may occur at certain moments due to the influence of light and other factors. Such changes can result in incorrect recognition of the human facial expression. To solve this problem for smooth system operation and maintenance of recognition speed, we take changes in image characteristics at high speed capturing into account. The proposed method does not use the immediate output for reference, but refers to the previous image for averaging to facilitate recognition. In this way, we are able to reduce interference by the characteristics of the images. The experimental results show that after adopting this method, overall robustness and accuracy of facial expression recognition have been greatly improved compared to those obtained by only the convolution neural network (CNN).

原文英語
主出版物標題Proceedings of 2019 International Conference on System Science and Engineering, ICSSE 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面120-123
頁數4
ISBN(電子)9781728105253
DOIs
出版狀態已發佈 - 2019 7月
事件2019 International Conference on System Science and Engineering, ICSSE 2019 - Dong Hoi City, Quang Binh Province, 越南
持續時間: 2019 7月 202019 7月 21

出版系列

名字Proceedings of 2019 International Conference on System Science and Engineering, ICSSE 2019

會議

會議2019 International Conference on System Science and Engineering, ICSSE 2019
國家/地區越南
城市Dong Hoi City, Quang Binh Province
期間2019/07/202019/07/21

ASJC Scopus subject areas

  • 能源工程與電力技術
  • 安全、風險、可靠性和品質
  • 控制和優化
  • 電腦網路與通信
  • 硬體和架構
  • 資訊系統與管理

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