Computer vision includes several subjects, such as machine learning, image processing and model recognition, and replaces some human work by analyzing and extracting a large amount of video data and analyzing video content information. With the continuous improvement and development of educational video system and artificial intelligence technology, an intelligent educational video system based on real-time recognition technology is being developed rapidly. To determine and analyze the behavior of teachers and students by using behavior recognition algorithms based on continuous video images, classroom scene video can reflect students' participation in classroom teaching, and evaluate teachers' attractiveness to students through students' academic performance. Including their academic performance. Through the analysis of the behavior of teachers and students in the classroom, we can effectively find the intersection of students and teachers in the classroom. Through the interaction and interest between students, we can analyze the influence of teachers' style and interaction on students in teaching. Students, educational reform, improving the quality of education and training highly skilled personnel to achieve a positive direction.

计算机视觉包括机器学习，图像处理和模型识别等多个主题，并且通过分析和提取大量视频数据并分析视频内容信息来代替一些人工工作。随着教育视频系统和人工智能技术的不断改进和发展，基于实时识别技术的智能教育视频系统正在迅速发展。为了使用基于连续视频图像的行为识别算法来确定和分析教师和学生的行为，教室场景视频可以反映学生对课堂教学的参与，并通过学生的学习表现来评估教师对学生的吸引力。包括他们的学习成绩。通过对课堂上师生行为的分析，可以有效地发现课堂上师生的交集。通过学生之间的互动和兴趣，我们可以分析教师的风格和互动对学生教学的影响。对学生进行教育改革，提高教育质量，培养高技能人才，实现积极的发展方向。