Crowd's Density And Motion Estimation

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.