摘要
Abstract
In some public places,the statistics about the number of people is an important problem in security field. In order to receive large perspective, to get more useful video information, considering real-time and monitoring costs,this paper used a fisheye lens to monitor population. In order to make all the field of view imaging features im-age in the finite size of the surface,the designer introduced the barrel distortion artificially. At the same time,be-cause the actual scenery through a fisheye lens,will produce the pixels with different weight,in the process of crowd counting based on fisheye video image,four features including weighted area,weighted edge density,weighted KLT corner number and weighted contour perimeter are extracted based on the perspective weight model of fisheye cam-era,and polynary linear regression combined with these features is applied for crowd counting in fisheye images. The experimental results are quite good.关键词
鱼眼视频图像/人数估计/透视加权模型/多元线性回归Key words
fisheye video image/counting/perspective weight model/polynary linear regression分类
信息技术与安全科学
