夜间边境非法越界热成像智能监测方法  

Thermography Intelligent Monitoring Method for Illegal Person Crossing the Border at Night

作　　者：肖琳琳 白培瑞 赵健乐 XIAO Linlin;BAI Peirui;ZHAO Jianle(College of Electronic Communication and Physics,Shandong University of Science and Technology,Qingdao Shandong 266590,China;College of Information and Control Engineering,China University Of Petroleum,Qingdao Shandong 266580,China)

机构地区：[1]山东科技大学电子通信与物理学院,山东青岛266590 [2]中国石油大学信息与控制工程学院,山东青岛266580 [3]不详

出　　处：《电子器件》2018年第6期1560-1565,共6页Chinese Journal of Electron Devices

基　　金：国家自然科学基金项目(61471225)。

摘　　要：国家边界线夜间非法越境监测和报警是一个重要的研究课题,目前存在的监控系统智能性低、误检率高、计算时间慢。为了实现智能监测,提出了一种热成像智能监测方法。首先使用高斯背景建模提取前景目标,使用HOG+SVM的方法对前景目标进行越界人检测;为了消除动物的干扰,利用STC算法进一步跟踪并分析目标速度和运动轨迹。实验结果表明,设计的方法提高了越界人检测的准确率,检测时间提高到60 ms左右,满足了现场应用。Detecting illegal Person crossing national boundary line at night is an important research topic.The current monitoring system has disadvantage of low intelligence,high false detection rate and slow calculation time and so on.In order to achieve intelligent monitoring,a thermography intelligent illegal person monitoring method is proposed.Firstly,the foreground object is extracted using Gaussian background modeling in order to decrease the processed image size.The HOG and SVM are combined to detect the running target.Then,in order to eliminate the false alarm caused by animal interference,the STC algorithm is used to get the speed and trajectory of detected person or animal and judge illegal cross-border person according to running trajectory.The experimental results show that this method not only improves the illegal person detection accuracy,but also every frame average detection time is only less than 60 ms which satisfies the actual application requirement.

关 键 词：热成像技术 越界监测 高斯混合模型 HOG+SVM STC 轨迹判断 

分 类 号：TN946[电子电信—信号与信息处理]