双阈值背景差分算法在嵌入式报警系统中的应用  

Application of double-threshold background difference algorithm in embedded alarm system

作　　者：张会敏[1] 卢兰涛[1] 崔鹏[2] 张云龙[1] 谢泽奇[1] 

机构地区：[1]郑州大学西亚斯国际学院,河南郑州451150 [2]河南省电力公司,河南郑州450052

出　　处：《传感器与微系统》2010年第10期138-140,共3页Transducer and Microsystem Technologies

基　　金：河南省教育厅科技攻关计划资助项目(2010C520022);郑州大学西亚斯国际学院2010年校级科研项目(2010KYYB20)

摘　　要：针对嵌入式报警系统中运动目标检测算法由于噪声干扰导致检测效率低、虚报率高等问题,提出了一种基于特征大小的双阈值背景差分算法。该算法在动态阈值背景差分算法的基础上,根据调节运动目标在图像中所占的比例来实现对检测目标的选择,并根据特征大小,提出了双阈值背景差分算法,并对背景模型实时更新,从而能正确地分割入侵者图像,有效地去除了噪声干扰,降低虚报率。实验结果证明:该算法运算量小,鲁棒性好,适用于实时性强的嵌入式报警系统。Aiming at solving the problems of low detection efficiency and high false alarm rate of moving targets detection algorithm in embedded alarm system because of the interference of noise, a double-threshold background difference algorithm based on object characteristic is proposed. Based on dynamic threshold background difference algorithm and in accordance with object characteristics, two thresholds are used to detect targets by regulating the proportion of moving targets over the whole image, and update background model in real time. This method can correctly segment the image and effectively remove the noise. The experimental results show that this algorithm with low computation quantity and good robustness is suitable for the strong real-time embedded alarm system.

关 键 词：嵌入式报警系统 特征大小 双阈值 背景差分算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]