Video-based Student Classroom Classroom Behavior State Analysis

Looking back on the development of education, education has evolved along with human society, and science technology been fundamental force driving change education. And increasing demand for personalized students, focus teaching gradually shifted to direction personalization specialization students. In process, students' classroom behavior is an important reference indicator evaluating learning, but teachers cannot pay attention each student's in time, can only derive learning status from their homework or exams. Many subjective factors easily affect teachers' judgment status, evaluation obtained not always comprehensive objective enough. traditional activities, mainly identify control videos manually, this method time-consuming labor-intensive, also affects quality. Therefore, it urgent study intelligent effective system analyzing status. It great significance improve quality assist obtaining feedback information. At present, rapid artificial intelligence reshaping world's industrial ecology pushing society into era intelligence. Artificial deeply integrating promoting innovation educational philosophy, methods management modes, expected lead systematic changes fact, be separated continuous research computer vision technology. How make obtain external information through video acquisition device simulate analysis recognition main content technology, its includes target tracking, object recognition, etc. paper, combination we analyze images classes scenes, build a