摘要
人脸检测作为人脸识别技术中的一项关键技术,近年来成为模式识别与计算机视觉领域内一项研究活跃的课题,其应用涉及到安防监控、人机交互、智能城市等各种领域。本文针对人脸检测技术在某高校教学评估中的应用展开相关研究,详细阐述了基于Haar-like特征和Adaboost算法的人脸检测技术的原理,提出了一种将人脸检测技术运用到学生听课质量评估中的实现方法,并且利用教室的监控视频流检测学生的课堂抬头率,进一步分析了该方法的可靠性和实用性。
Face detection has become a very active subject in the field of pattern recognition and computer vision. Its application involves security monitoring, human-computer interaction, smart city and other fields. In this paper, the application of face detection technology in the teaching evalua- tion of a university is studied, and the principle of face detection technology based on Haar-like feature and Adaboost algorithm is described in detail. We put forward a method to realize the face detection technology in the quality evaluation of students' listening class. Monitoring the rise of students by monitoring video flow in the classroom. In the final ,we evaluate the reliability and practicability of the method.
出处
《电子世界》
2016年第24期37-38,共2页
Electronics World
基金
北京市自然科学基金4152004的资助
北京工业大学教改项目(002000514116019)的支持