摘要
随着视频监控系统智能化程度的提高,监控区域的人数统计也成为一个热点。提出了一种快速有效的人数统计方法。使用背景差分与帧差分相结合的方式提取运动目标,使用两步分割法区分人群与单个行人,使用基于目标区域算法统计人群的数量的。与目前已有的方法相比,该方法在保持较高准确率的前提下,实时性有了很大的提高,并且降低了对硬件的需求。
With the improvement of the intelligence degree of video surveillance system,the head counting in surveillance area becomes a studying focus too.This paper proposes a fast and effective head counting method.In this method we use the combination of background subtraction and frame subtraction to extract the motion objects first,and then use coarse-to-fine segmentation to distinguish the group people and the single passer-by,at last an algorithm based on object area is used to count the number of people groups.Compared with existing methods,the proposed method has got great improvement in real-time when keeping high accuracy unchanged,and reduces the requirements on hardware as well.
出处
《计算机应用与软件》
CSCD
2011年第2期260-262,共3页
Computer Applications and Software
关键词
背景差分
帧间差分
两步分割
Background subtraction Frame subtraction Coarse-to-fine segmentation
