一种智能视频监控中遗留物与搬移物的检测方法  

An Detection Algorithm for Abandoned and Moved Objects Used in Intelligent Surveillance Video

作　　者：毕国玲[1,2] 赵建[1] 续志军[1] 孙强[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [2]中国科学院大学,北京100039

出　　处：《微电子学与计算机》2013年第12期27-30,共4页Microelectronics & Computer

基　　金：国家自然科学基金项目(60977001);吉林省科技发展计划杰出青年项目

摘　　要：提出了一种智能视频监控中遗留物与搬移物的检测方法.基于高斯混合分布模型,采用不同更新速率的累积掩膜更新背景模型,建立双背景模型,利用基于边缘的相关匹配算法,识别和提取前景目标,给出遗留物或搬移物的空间位置并报警.实验结果表明本算法大大降低了计算的复杂度,对遗留物或搬移物的检测有较高的检测精度和鲁棒性,降低了误警率.An detection algorithm for abandoned an moved objects used in intelligent surveillance video is presented in paper. It based on Gaussian mixture model, using different update rate cumulative mask update background model to establish dual background model. Use edge matching algorithm to identify and extract foreground object, give the space location of abandoned or moved objects and alarm, The experimental results show. that this algorithm significantly reduces the computational complexity, the abandoned or moved objects detection with high detection accuracy and robustness, reduce the false alarm rate.

关 键 词：高斯混合分布模型 双背景建模 滞留物 搬移物 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]