基于视频数据的大学生课堂睡觉行为统计分析研究

Statistical Analysis of College Students' Sleeping Behavior in Classroom Based on Video Data

对大学生课堂睡觉行为进行统计分析,通过开发视频处理技术,在不需要人为干预情况下,智能地分析视频序列中兴趣目标区域的前景活动信息。由于风吹光照等不可抗拒外部影响因素,提出建立自适应混合高斯背景模型,融合时空背景模型的背景减除,并采用自适应的高斯成分个数,对大学生课堂行为进行特征提取,进行统计分析,及时生成统计结果。

The sleep behavior of college students is analyzed.Through the development of video processing technology,without human intervention,intelligent analysis of interested target area in video sequences the prospect of event information,as the wind blows light and other irresistible external factors,proposed the establishment of adaptive mixed Gauss background model,background fusion model background subtraction,and the number of components of the adaptive Gauss on College Students＇ classroom behavior,feature extraction,statistical analysis,generate statistics timely.