【摘要】 在目前的高校教育制度下,我国的教育事业蓬勃发展,但是在学生课堂早退违纪问题的处理中仍存在不足之处,由于早退学生的过多遮挡以及背景环境较高的复杂程度,因此在识别学生的身份时很难同时兼顾速度和准确性。针对该问题,基于显著性目标检测U2Net网络和多重损失的GaitSet模型,结合步态识别相关技术,设计和实现了针对于高校课堂早退学生身份识别的系统DGRSML,为有效解决高校学生课堂早退违纪现象的身份识别问题提供了帮助。更多还原

【Abstract】 Under the present university education system, our education enterprise has been developing vigorously, but there are still some shortcomings in the process of the problem of early class leave disciplinary problems, because of the excessive cover of early students and the complexity of the environment, can not quickly and accurately identify the identity of the students. To solve this problem, based on significant object detection U2Net network and multiple loss GaitSet model, combined with gait recognition technology, the identification system for college students who leave class early is designed and implemented, which provides help to effectively solve the discipline problem of college students who leave class early.更多还原