激光与光电子学进展, 2016, 53 (11): 111005, 网络出版: 2016-11-14
红外光照突变下的运动目标检测 下载: 589次
Moving Object Detection Under Infrared Light Mutation
图像处理 运动目标检测 混合高斯模型 边缘检测 光照突变 image processing moving object detection Gaussian mixture model edge detection light mutation
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。
Abstract
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.
陈强, 盛惠兴, 张卓, 谢迎娟, 张学武. 红外光照突变下的运动目标检测[J]. 激光与光电子学进展, 2016, 53(11): 111005. Chen Qiang, Sheng Huixing, Zhang Zhuo, Xie Yingjuan, Zhang Xuewu. Moving Object Detection Under Infrared Light Mutation[J]. Laser & Optoelectronics Progress, 2016, 53(11): 111005.