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《Modern Educational Technology》 2018-06
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Research on Intelligent Recognition of S-T Behavior in Classroom Teaching Video

ZHOU Peng-xiao;DENG Wei;GUO Pei-yu;LIU Qing-tang;School of Educational Information Technology, Central China Normal University;Information and Basic Education Balanced Development Synergy Innovation Center,Central China Normal University;  
This paper is mainly about the design and implementation of S-T behavior intelligent recognition in classroom teaching video. Data is collected from three aspects, including the detection of video frame image face number, contour features and main action range. The Bayesian causal network model is applied to deduce the behavior characteristics of the main body, obtain behavioral sequences, and finally obtain the instructional video teaching mode. Meanwhile, the design and implementation of S-T behavioral intelligent recognition in classroom teaching videos is completed. The research algorithm is based on C + + and OPENCV, which summarizes the results of behavioral feature detection and outputs the teaching mode of classroom teaching video. After testing, the standard classroom teaching video analysis has high accuracy and efficiency, which verifies the feasibility of the algorithm in this study.
【Fund】: 华中师范大学中央高校基础科研基金“我国教育均衡可持续发展预警方法研究”(项目编号:CCNU16A05024);; 湖北省技术创新专项重大项目“互联网+精准教育关键技术研究与示范”(项目编号:2017ACA105)的阶段性研究成果
【CateGory Index】: G434
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