摘要
当运动目标较多时,时间平均法提取的背景存在模糊和拖影现象。为此,提出一种基于帧间差分的背景提取与更新算法。该算法采用基于像素级和帧级的多级自适应背景更新策略,能够克服光线缓慢变化和剧烈变化对背景的影响,并及时消除由于物体移入和移除产生的鬼影。实验结果表明,该算法能快速有效地对背景进行更新,提取的背景图像效果较好。
In view of the distortional background extracted by time-averaged method,an improved algorithm that combined with the frame-difference method is presented in this paper.During background updating,this paper uses multi-level background update strategy,it can avoid the effect of new objects to the background and eliminate the ghosts caused by the move-away of background objects or by the move-in of foreground objects.Experimental result shows that the proposed algorithm can be used to extract backgrounds effectively and quickly when the scene changes,and it has better effect.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第22期159-161,共3页
Computer Engineering
基金
广东省科技计划基金资助项目(2007B010400068)
关键词
运动目标
背景提取
时间平均法
帧间差分
背景更新
moving object
background extraction
time-averaged method
frame-difference
background update
