红外光照突变下的运动目标检测  

Moving Object Detection Under Infrared Light Mutation

作　　者：陈强[1] 盛惠兴[1] 张卓[1] 谢迎娟[1] 张学武[1] Chen Qiang Sheng Huixing Zhang Zhuo Xie Yingjuan Zhang Xuewu(College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu 213022, China)

机构地区：[1]河海大学物联网工程学院,江苏常州213022

出　　处：《激光与光电子学进展》2016年第11期117-124,共8页Laser & Optoelectronics Progress

基　　金：国家973计划(2016YFC0401606);国家自然科学基金(61273170);中央高校基本科研业务费专项资金(2015B25214)

摘　　要：提出了一种结合边缘混合高斯模型与帧间差分的方法,来实现红外光照突变场景下的运动目标检测。该方法通过统计阈值及图像方差的变化范围来判断光照突变情况的发生,并引入减缓因子来改进模型。实验结果表明,与传统检测方法相比,改进方法误检率更低,检测准确度更高,稳健性更强,更能有效解决智能安防监控系统中光照突变及红外模式过渡导致的误报问题。One method combining edge Gaussian mixture model and frame difference is proposed to realize the moving object detection under infrared light mutation, which uses the statistical threshold and image variance change to distinguish the occurrence of light mutation, and introduces a retard factor to upgrade the model. Experimental results show that, compared with the traditional detection method, the improved method here shows lower rate of false detection, more accurate detection, stronger robustness and stability, and it can effectively solve the false reporting problems induced by light mutation and infrared mode transition in the intelligent security monitoring system.

关 键 词：图像处理 运动目标检测 混合高斯模型 边缘检测 光照突变 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]