Abstract:
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 .
Key words:
moving object,
background extraction,
time-averaged method,
frame-difference,
background update
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。
关键词:
运动目标,
背景提取,
时间平均法,
帧间差分,
背景更新
CLC Number:
FAN Xiao-Liang, YANG Jin-Ji. Background Extraction and Update Algorithm Based on Frame-difference[J]. Computer Engineering, 2011, 37(22): 159-161.
樊晓亮, 杨晋吉. 基于帧间差分的背景提取与更新算法[J]. 计算机工程, 2011, 37(22): 159-161.