Simulation of English feature recognition based on machine learning and artificial intelligence technology

Abstract

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.