摘要
提出一种基于目标定位的背景建模方法,通过对视频序列中运动目标的位置进行预估,将前景点与背景点初步分离,进而构建背景模型,有效避免了传统时间平均法构造背景时产生的前景目标与背景混合的现象.实验结果表明,该方法无需预先存储背景图像即可实现场景中运动目标的提取与跟踪,弥补了传统背景差法需要事先提供背景帧以及对背景变化缺乏适应性的缺陷.
A new background modeling approach based on object locating is presented in this paper.The method separates the foreground pixels and background pixels preliminary via predicting the location of moving object in video sequences,and then constructs the background model.It effectively overcomes the mixing of background pixels and foreground object in time-averaging method.Experimental results show that the proposed approach could detect and track the moving object without storing the background model in advance.It makes up for the deficiencies in background subtraction method which needs background model before hand and is lack of adaptation to background changes.
出处
《吉林大学学报（理学版）》
CAS
CSCD
北大核心
2010年第4期617-623,共7页
Journal of Jilin University:Science Edition
基金
珠海市科技项目(批准号:PC20041101)
关键词
智能监控
背景建模
目标跟踪
intelligent surveillance
background modeling
object tracking
