摘要
基于Open CV机器视觉处理库,结合了教室人员自有的行为特点,从其头部的特征出发,采用HOG特征+线性SVM来分析教室现有的人数以及人员密度,可为学校和学生远程了解教室占用情况提供有效的分析处理数据。
Based on the OpenCV machine vision processing library, this paper combines the characteristics of the classroom per-sons, own behavior, starting from the characteristics of the head, using the HOG feature and linear SVM to analyze the existing number of people and the density of the classroom. Providing the effective analysis and processing data for schools and students who care about the station of classroom occupancy.
出处
《信息通信》
2017年第5期278-279,共2页
Information & Communications
