结合背景更新和亮度范围的改进Codebook模型算法  

IMPROVED CODEBOOK MODEL ALGORITHM COMBINING BACKGROUND UPDATE AND BRIGHTNESS RANGE

作　　者：瞿中[1,2] 辛宁[1] 廖春梅[1] 

机构地区：[1]重庆邮电大学计算机科学与技术学院,重庆400065 [2]重庆市软件质量保证与测评工程技术研究中心,重庆400065

出　　处：《计算机应用与软件》2016年第11期153-156,共4页Computer Applications and Software

基　　金：重庆市科委基础与前沿项目(cstc2014jcyjA1347);重庆市高校优秀成果转化项目(KJZH14219)

摘　　要：传统的Codebook背景模型算法是在RGB颜色空间下建立的,该算法计算复杂、分割质量不高且抗扰动能力较差。首先利用YUV颜色空间下亮度与色度分离的特性,建立Codebook背景模型,其次针对背景模型的亮度范围定义不合理的问题,采用码本中码字的Y分量均值重新定义亮度范围,最后在运动目标检测过程中使用双层码本与短时滑动窗口相结合的背景更新方法提高抗干扰能力。实验表明,改进算法的亮度范围能够随背景变化不断更新。与传统的Codebook背景模型算法相比,该算法能够有效更新背景,同时提高检测的准确性。Traditional Codebook background modelling algorithm is established in RGB colour space,it has the problems of complex calculation,low segmentation quality and poor anti-jamming capability. In this paper,we first built the Codebook background model by utilising the characteristics of luminance and chrominance separation of YUV colour space. Secondly,we used the mean of Y component of codeword in Codebook to redefine brightness range aimed at the problem of unreasonable definition in brightness range of background model. Finally,in the process of moving object detection we employed the background update method combining two-layer Codebook and short-sliding window to improve anti-jamming capability. Experiments showed that the brightness range in improved algorithm can update gradually with the background changes. Compared with traditional Codebook background modelling algorithm,this one can effectively update background and meanwhile improve detection accuracy as well.

关 键 词：Codebook模型 YUV空间 背景更新 亮度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]