An infant facial expression recognition system based on moment feature extraction

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

This paper presents a vision-based infant surveillance system utilizing infant facial expression recognition software. In this study, the video camera is set above the crib to capture the infant expression sequences, which are then sent to the surveillance system. The infant face region is segmented based on the skin colour information. Three types of moments, namely Hu, R, and Zernike are then calculated based on the information available from the infant face regions. Since each type of moment in turn contains several different moments, given a single fifteen-frame sequence, the correlation coefficients between two moments of the same type can form the attribute vector of facial expressions. Fifteen infant facial expression classes have been defined in this study. Three decision trees corresponding to each type of moment have been constructed in order to classify these facial expressions. The experimental results show that the proposed method is robust and efficient. The properties of the different types of moments have also been analyzed and discussed.

原文英語
主出版物標題VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
頁面313-318
頁數6
出版狀態已發佈 - 2010 九月 10
事件5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 - Angers, 法国
持續時間: 2010 五月 172010 五月 21

出版系列

名字VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
2

其他

其他5th International Conference on Computer Vision Theory and Applications, VISAPP 2010
國家/地區法国
城市Angers
期間2010/05/172010/05/21

ASJC Scopus subject areas

  • 計算機理論與數學
  • 電腦科學應用
  • 電腦視覺和模式識別

指紋

深入研究「An infant facial expression recognition system based on moment feature extraction」主題。共同形成了獨特的指紋。

引用此