Journal
TRAITEMENT DU SIGNAL
Volume 38, Issue 1, Pages 215-220Publisher
INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
DOI: 10.18280/ts.380123
Keywords
image processing; behavior recognition; moving target detection; image segmentation; student classroom behaviors
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This paper proposed a moving target detection algorithm and two recognition algorithms for student behavior recognition in class, which were proved effective through experiments.
Classroom teaching, as the basic form of teaching, provides students with an important channel to acquire information and skills. The academic performance of students can be evaluated and predicted objectively based on the data on their classroom behaviors. Considering the complexity of classroom environment, this paper firstly envisages a moving target detection algorithm for student behavior recognition in class. Based on region of interest (ROI) and face tracking, the authors proposed two algorithms to recognize the standing behavior of students in class. Moreover, a recognition algorithm was developed for hand raising in class based on skin color detection. Through experiments, the proposed algorithms were proved as effective in recognition of student classroom behaviors.
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