红外技术2017，Vol.39Issue(11)：1024-1031,8.
自适应复杂背景干扰的运动目标检测算法
Moving-target Detection Algorithm Adapting Complex Background Interference
摘要
Abstract
Video-based moving-object detection is according to the pixel characteristics of the target to determine the target that is moving relative to the background. When the background of the image changes dynamically, it will be difficult to distinguish the pixel characteristics between the background and the moving target, which is prone to detection error. Moving target detection in a complex background has been a challenging problem until now. The mainstream algorithm of moving target detection still cannot accurately detect moving targets under complex backgrounds such as dark background, water surface fluctuation, and airflow quiver. Aiming at the above problems, a novel moving-target detection algorithm was proposed for adapting to complex background interference. The algorithm adopted a new standard of classifying the foreground and a new method of updating the background model. At the same time, a creative method was put forward to update the threshold, which would automatically adjust the size of the threshold according to the change of background. The algorithm enhanced the ability to resist the interference of the complex background and camera shake. According to various video tests, the accuracy rate of background detection reached 0.9958.On the other hand, the accuracy rate of foreground detection reached 0.8012. Obviously, it is a great progress on foreground detection. Besides, the novel algorithm has high work-efficiency and has a significant effect on the extraction of moving objects in a complex background.关键词
运动目标检测/复杂背景/模型更新/自适应阈值Key words
moving target detection/complex background/updating model/adaptive threshold分类
信息技术与安全科学引用本文复制引用
王东京,张宝辉,陈弘原,王润宇,吴杰,吴旭东..自适应复杂背景干扰的运动目标检测算法[J].红外技术,2017,39(11):1024-1031,8.基金项目
云南省科技厅院士自由探索项目专项科研资助(2016HA009). （2016HA009）
