首页|改进的FBS-ABL运动目标检测算法

改进的FBS-ABL运动目标检测算法

扫码查看
针对快速背景减除法(FBS-ABL)在复杂环境下易存在鬼影的问题,提出一种改进的FBS-ABL算法.该算法在FBS-ABL算法检测到前景目标的基础上,求出前景运动目标及其邻域的像素直方图并进行匹配,判断目标区域是否存在"鬼影",通过改变该区域的像素值消除"鬼影".同时对于鬼影目标可能存在的区域再次进行背景初始化,抑制"鬼影"的出现.在两个不同的场景进行了实验验证,结果表明,改进的FBS-ABL算法对"鬼影"消除有着良好的效果,对目标检测的准确率有着明显的提升.
Moving Object Detection Algorithm of Improved FBS-ABL
An improved FBS-ABL algorithm is proposed to solve the problem that Fast Background Subtraction(FBS-ABL)is prone to ghost-ing in complex environments.The algorithm based on the foreground target detected by FBS-ABL algorithm,after find and match the pixel histogram of foreground object and its neighborhood,then determine whether there is a"ghost"in the target area and eliminate the ghost by changing the pixel values of target area.Meanwhile,reinitializing the background model for area that ghost object may be exist to suppress the ghost.Finally,the improved algorithm is validated through two different scenes,the result show that the proposed algorithm can effectively eliminate ghost and significantly increase the accuracy of moving object detection.

background subtractbackground modelingmoving object detectionghost suppress

陈春林、槐崇飞、王子涵、洪文健

展开 >

沈阳理工大学 汽车与交通学院,辽宁 沈阳 110159

背景减除 背景建模 移动目标检测 鬼影抑制

2025

自动化技术与应用
中国自动化学会 黑龙江省自动化学会 黑龙江省科学院自动化研究所

自动化技术与应用

影响因子:0.316
ISSN:1003-7241
年,卷(期):2025.44(1)