Student experiment classroom behavior identification method based on top vision

The invention provides a student experiment classroom behavior identification method based on top vision, and mainly solves the problems of high workload and poor timeliness caused by manual information extraction in traditional behavior recognition. According to the implementation scheme, the method includes installing a camera vertically above the desktop of each experiment table, performing video sampling on behaviors of students during experiment, and performing image frame extraction and calibration on sampled video streams to obtain a data set; training a target detection network by using the data set to obtain a trained target detection model; inputting a student experiment classroom video into the trained target detection model to obtain a picture for framing the hands of the student; and classifying all pictures framing the student hands by using a deep learning classification model to generate a recognition result of the student hand behaviors. According to the invention, the data processing amount