Vision-based raising hand detection in classroom

Cheng Chieh Chiang, Cheng Chuan Tsai, Greg C. Lee

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Raising hand is one of the most important types of interaction between students and lecturers in classroom. When an automatic system can be installed in classroom to figure out which students raise their hands, it is possible to design more advanced applications for education goals. This paper proposes a system that employs computer vision technologies to automatically detect the student action of raising hand. We first design a foreground extraction method to segment student bodies in consecutive video frames. Next, a shape-like appearance signature that represents human gestures is designed based on the scale-invariant feature transform (SIFT) descriptor. A gesture classifier for raising hands is also designed using the support vector machine (SVM) approach. This paper designs several experiments to demonstrate the performance of our proposed system in a real classroom.

原文英語
主出版物標題Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013
發行者MVA Organization
頁面61-64
頁數4
ISBN(列印)9784901122139
出版狀態已發佈 - 2013
對外發佈
事件13th IAPR International Conference on Machine Vision Applications, MVA 2013 - Kyoto, 日本
持續時間: 2013 五月 202013 五月 23

出版系列

名字Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013

會議

會議13th IAPR International Conference on Machine Vision Applications, MVA 2013
國家/地區日本
城市Kyoto
期間2013/05/202013/05/23

ASJC Scopus subject areas

  • 電腦視覺和模式識別
  • 電腦科學應用

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