基于改进ViBe算法的静态场景运动目标检测  

Moving Object Detection in Static Scene Based on Improved ViBe Algorithm

作　　者：汤旻安[1] 王晨雨 Tang Min’an;Wang Chenyu(School of Automation&Electrical Engineering,Lanzhou Jiaotong University,Lanzhou,Gansu 730000,China)

机构地区：[1]兰州交通大学自动化与电气工程学院,甘肃兰州730000

出　　处：《激光与光电子学进展》2021年第14期208-216,共9页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61663021,71763025,61861025);甘肃省重点研发计划(18YF1FA058);甘肃省科技支撑计划(1304GKCA023);甘肃省高校科研项目(2017A-025)。

摘　　要：针对ViBe算法在静态背景下检测效果较差和检测目标存在“鬼影”的问题,结合哈希算法和图像二维信息熵的知识提出一种改进的ViBe算法。首先,采用哈希算法对选取的三帧图像进行差分运算,对差分后得到的目标区域进行背景填充以得到背景图像,再对背景图像进行背景建模,从而消除鬼影现象。然后,根据背景的复杂程度得到自适应阈值与更新速率,使用自适应阈值进行前景检测,使用连通域信息进行二次检测以得到目标图像。最后,对目标图像进行形态学处理与背景更新。由实验数据可知,改进算法对草地、树叶和雪景等静态场景下的行人与车辆目标进行检测后,图像的F-measure值在0.8以上,比ViBe算法和高斯混合模型有所提升且较为稳定。实验结果表明,改进的ViBe算法可以消除鬼影现象,抑制背景的干扰,较好地检测目标信息。Aiming at the problem of the poor detection effect of ViBe algorithm under static background and the existence of"ghosting"in the detection target,an improved ViBe algorithm is proposed by combining the knowledge of the Hash algorithm and the two-dimensional information entropy of the image.First,the Hash algorithm is used to perform differential operations on the selected three frames of images,and the target area obtained after the difference is filled in the background to obtain the background image,and then the background image is modeled to eliminate the ghost phenomenon.Then,the adaptive threshold and update rate are obtained according to the complexity of the background,the adaptive threshold is used for foreground detection,and the connected domain information is used for secondary detection to obtain the target image.Finally,the target image is processed and the background is updated.According to the experimental data,after the improved algorithm detects pedestrians and vehicles in static scenes such as grass,leaves,and snow scenes,the F-measure value of the image is above 0.8,which is improved and more stable than the ViBe algorithm and the Gaussian mixture model.Experimental results show that the improved ViBe algorithm can eliminate ghosting,suppress background interference,and better detect target information.

关 键 词：图像处理 静态背景 目标检测 哈希算法 ViBe算法 二维信息熵 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]