商业社区人群密度监测系统设计

人群监控是借助于数字图像处理技术对某一区域的人群进行监控,它在社会生活和生产的许多领域有着广阔的应用前景。人群密度估计是人群监控中的重点。现有的人群密度估计方法,对于低密度人群图像采用基于像素统计的方法,对于较高密度人群图像采用基于多尺度分析和分形的纹理分析方法,并应用支持向量机进行人群密度等级分类。现有方法计算量较大,容易出错,且实时性较差。经试验证明,本文的方法较以前的方法更为准确有效,实时性更好。

Design of Business Community Population Density Monitoring System

Crowd surveillance depends on numeral image disposed technology to supervise crowed in a certain area.Crowed surveillance has promising future in many fields of our lives and production.Crowd density estimation is very important in crowd surveillance. A pixel—counting based method is applied to low density images whereas a texture analysis method based on multi—scale analysis and fractal is implemented to higher density images which are classified by SVM. The results from experiments on the crowd image set indicate that the new technique presented by this paper is more accurate and efficient than previous ones.