摘要
校园安全监控方法监控视频图像质量不佳,影响了校园安全防控管理效果,因此研究基于传感器的校园安全防控动态监控方法。首先,划分防控区域规划监控位置,结合不同区域实际情况确定监控设备数量;其次,提取图像特征检测监控摄像设备干扰,融合背景特征模态和边缘特征模态,动态监控与跟踪目标对象;最后,检测到异常行为后发出告警,完成校园安全防控动态监控。经实验论证分析,与3种传统方法相比,本文方法在3组实验测试中的干扰检测率最高,均在90.00%以上,监测时延均在0.50 s以下,说明实时性更强。
Due to the poor quality of the video images monitored by the campus security monitoring methods,which affects the management effect of campus security prevention and control,this paper studies the dynamic monitoring method of campus security prevention and control based on sensors.Firstly,divide the prevention and control areas,plan the monitoring location,determine the number of monitoring equipment in combination with the actual situation of different areas.Secondly,extract image features to detect the interference of monitoring camera equipment,integrate the background feature mode and edge feature mode,dynamically monitor and track the target object.Finally,issue an alarm after detecting abnormal behavior,and complete the dynamic monitoring of campus safety prevention and control.Through experimental demonstration and analysis,compared with the three traditional methods,the interference detection rate of this method in the three groups of experimental tests is the highest,both above 90.00%,and the monitoring real-time delay is less than 0.5 s,which is more real-time.
作者
董博
DONG Bo(Security Department,Shaanxi Xueqian Normal University,Xi’an Shaanxi 710100,China)
出处
《信息与电脑》
2022年第18期235-237,共3页
Information & Computer
关键词
传感器
校园安全防控
监控设备
图像特征检测
动态监控
sensor
campus security prevention and control
monitoring equipment
image feature detection
dynamic monitoring