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人群的密度估计与运动估计

Crowd’s Density and Motion Estimation

【作者】 杜娟

【导师】 刘秀平;

【作者基本信息】 大连理工大学 , 计算数学, 2006, 硕士

【摘要】 随着经济社会的发展,各种公共场地和设施中的人群流动越来越频繁。如何对公共场合的人群进行有效管理与控制,是不得不考虑的重大问题。智能化人群监控技术应运而生,它主要包括人群的密度估计和运动估计两部分内容。智能化人群密度估计和运动估计可以用于人群的监测和管理,也可应用于商业领域,如市场调查、交通安全以及建筑设计领域等。它们能够直接或间接地提高上述场合工作人员的工作效率和建筑设施的利用率,因此对人群密度估计和运动估计方法的研究有着深远的意义和广阔的前景。 本文研究了基于图像和视频处理的智能化人群自动估计方法。首先介绍了智能化人群监测系统的构成和基本原理以及它的发展。在人群密度估计方面,本文采用提取人群前景和边缘两种特征,尔后利用最小二乘直线拟合估计出人数与这两者的线性关系,并通过实验比较了Sobel算子和Canny算子在边缘检测上的优劣性,同时完成了背景图像的自动生成。在运动估计方面,采用块匹配算法对人群的运动趋势以及速度进行估计,同时通过全搜索法和三步搜索法的实验比较,得出二者在精确度和运算速度方面的优劣,并且计算出人群在图像平面的运动速率。

【Abstract】 With the development of economic society, the crowd in various kinds of public places flows more and more frequently. How to manage and control the crowd effectively comes to be an important issue which we have to consider nowadays. Intelligentized crowd surveillance technology arises at the very moment. It mainly includes both density estimation and motion estimation. Intelligentized crowd density and motion estimation can be used for monitoring and managing the crowd, at the same time, it can also be used for market survey in the commercial field, traffic safety and architectural design field, etc.. It can help staff members in the above mentioned occasions improve working efficiency and improve utilization ratio of building facilities directly or indirectly, so there is far-reaching meaning and wide prospect in crowd’s density and motion estimation research.This text works on the intelligentized crowd automatic estimation which is based on the image processing. It introduces the composition, basic principle and the development of the intelligent crowd monitoring system at first. As to the estimation of crowd’s density, it draws pre-select crowd and edge characteristic, and then uses the least squares multiply to fit the line. In the experiment it compares the Sobel operator with the Canny operator, at the same time it completes the background producing. When it comes to crowd’s motion estimation, it applies block match algorithm. In addition it compares the Full Search algorithm and Three Step Search algorithm in both accuracy and computational speed by the experiment. At last it calculates the motion speed of the crowd in the image plan.

  • 【分类号】TP18
  • 【被引频次】9
  • 【下载频次】687
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