基于Linux和OpenCV的教室人数检测统计系统研究

Research on Detection and Statistical System of Number of People in Classroom based on Linux and OpenCV

为了让学生能远程了解自习室人数情况,从学生头部特征出发,分析现有的教室识别人数技术的特点和不足,以嵌入式Linux和OpenCV为软硬件搭建系统.系统采用垂直俯视拍摄方式,对教室座位区采取提取轮廓并椭圆拟合的方法识别座位区人数及人员排布.经实验表明,系统能有效地识别教室人数及并分析学生行为,具有快速、准确性高的特点.

in order to let the students understand the remote study room number, starting from the student head characteristics, an- alysing the characteristics of classroom identification number of technology and shortcomings, based on embedded Linux and OpenCV as soft hardware system. The system adopts the vertical view shooting mode, take the contour extraction and recogni- tion method of ellipse fitting and the number of personnel arrangement of the seating area, seating area. The experiment shows that the system can effectively identify the number of the classroom and analyze the behavior of the students. It has the character- istics of high speed and high accuracy.